{
  "retrieved": "2026-08-28",
  "vendors": {
    "aiornot": {
      "name": "AI or Not",
      "endpoint": "https://api.aiornot.com/v2/text/sync",
      "include_annotations": true
    },
    "sloptotal": {
      "name": "SlopTotal",
      "license": "MIT",
      "source": "https://github.com/pablocaeg/sloptotal",
      "endpoint": "http://127.0.0.1:8000/api/analyze",
      "engines": 23,
      "run": "local CPU, 28 August 2026"
    },
    "openrouter": {
      "model_requested": "openai/gpt-4",
      "model_returned": "openai/gpt-4",
      "endpoint": "https://openrouter.ai/api/v1/chat/completions"
    }
  },
  "rows": [
    {
      "id": "ssc-vegas-2014",
      "note": "Scott Alexander, Meditations on Moloch, Las Vegas section, published 30 July 2014",
      "chars": 3237,
      "aiornot": {
        "overall": 0.004729385570111244,
        "detected": false,
        "annotation_mean": 0.21709994533771407,
        "n_spans": 11,
        "spans_under_50": 10,
        "report_id": "dbb96be3-2eec-44c5-bfc6-85b10fc88433"
      },
      "sloptotal": {
        "overall_score": 6.4,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 4,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.977,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.005,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.153,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.251,
            "verdict": "clean"
          },
          {
            "name": "Perplexity",
            "score": 0.508,
            "verdict": "suspicious"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.317,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.002,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.343,
            "verdict": "clean"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.634,
            "verdict": "suspicious"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.003,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.008,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.503,
            "verdict": "suspicious"
          },
          {
            "name": "Log-Rank",
            "score": 0.306,
            "verdict": "clean"
          },
          {
            "name": "DivEye",
            "score": 0.188,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.132,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.192,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "ssc-principle-2014",
      "note": "Same essay, 'basic principle unites' paragraph",
      "chars": 534,
      "aiornot": {
        "overall": 0.006823243913577319,
        "detected": false,
        "annotation_mean": 0.07554036250795627,
        "n_spans": 2,
        "spans_under_50": 2,
        "report_id": "1951afa5-5a6c-443a-90fd-739f7aa3cb46"
      },
      "sloptotal": {
        "overall_score": 19.5,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 3,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.954,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.136,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Perplexity",
            "score": 0.086,
            "verdict": "clean"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.196,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.174,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.661,
            "verdict": "slop"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.969,
            "verdict": "slop"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.002,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.032,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.018,
            "verdict": "clean"
          },
          {
            "name": "Log-Rank",
            "score": 0.157,
            "verdict": "clean"
          },
          {
            "name": "DivEye",
            "score": 0.007,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.03,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.037,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "ssc-combined-2014",
      "note": "Vegas section plus principle paragraph",
      "chars": 3773,
      "aiornot": {
        "overall": 0.0036199724344170387,
        "detected": false,
        "annotation_mean": 0.16514052329292017,
        "n_spans": 13,
        "spans_under_50": 13,
        "report_id": "cd5f89c7-0533-4355-81ea-d1417f8fc304"
      },
      "sloptotal": {
        "overall_score": 9.9,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 5,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.975,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.013,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.131,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.298,
            "verdict": "clean"
          },
          {
            "name": "Perplexity",
            "score": 0.518,
            "verdict": "suspicious"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.34,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.074,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.456,
            "verdict": "suspicious"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.672,
            "verdict": "slop"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.002,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.07,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.497,
            "verdict": "suspicious"
          },
          {
            "name": "Log-Rank",
            "score": 0.321,
            "verdict": "clean"
          },
          {
            "name": "DivEye",
            "score": 0.176,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.112,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.155,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "ssc-pastiche-2026-08-28",
      "note": "Imitation of Alexander's Moloch voice, written 28 August 2026 for this measurement",
      "chars": 714,
      "aiornot": {
        "overall": 0.9998310557158364,
        "detected": true,
        "annotation_mean": 0.4601491275395068,
        "n_spans": 3,
        "spans_under_50": 2,
        "report_id": "f2c5ce4f-54c3-49fe-a3ac-cf14d5cc19ba"
      },
      "sloptotal": {
        "overall_score": 7.8,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 5,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.977,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.017,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.094,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.702,
            "verdict": "slop"
          },
          {
            "name": "Perplexity",
            "score": 0.534,
            "verdict": "suspicious"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.376,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.122,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.425,
            "verdict": "suspicious"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.06,
            "verdict": "clean"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.012,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.015,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.177,
            "verdict": "clean"
          },
          {
            "name": "Log-Rank",
            "score": 0.402,
            "verdict": "suspicious"
          },
          {
            "name": "DivEye",
            "score": 0.027,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.185,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.072,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.143,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "trap-taxonomy",
      "note": "antimoloch.org/research/trap-taxonomy.html, main text extracted",
      "chars": 5930,
      "aiornot": {
        "overall": 0.9999997470881403,
        "detected": true,
        "annotation_mean": 0.8702706814905137,
        "n_spans": 21,
        "spans_under_50": 2,
        "report_id": "c9298faf-3b5a-4abb-b62b-9c50a0fbbe70"
      },
      "sloptotal": {
        "overall_score": 8.7,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 2,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.424,
            "verdict": "suspicious"
          },
          {
            "name": "ReMoDetect",
            "score": 0.058,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.056,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Perplexity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.01,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.401,
            "verdict": "suspicious"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.367,
            "verdict": "clean"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.054,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.052,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.005,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.162,
            "verdict": "clean"
          },
          {
            "name": "Log-Rank",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "DivEye",
            "score": 0.04,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.223,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.098,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.009,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "freemaxxing",
      "note": "antimoloch.org/research/freemaxxing.html, main text minus sources list",
      "chars": 14039,
      "aiornot": {
        "overall": 0.9991020445467912,
        "detected": true,
        "annotation_mean": 0.5971377107240131,
        "n_spans": 55,
        "spans_under_50": 20,
        "report_id": "8f4fffce-e0b8-46e0-884c-039dd620ba04"
      },
      "sloptotal": {
        "overall_score": 0.0,
        "overall_verdict": "Clean \u2014 likely human-written",
        "engines_flagged": 0,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.142,
            "verdict": "clean"
          },
          {
            "name": "ReMoDetect",
            "score": 0.002,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Perplexity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Fakespot",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "E5-Small",
            "score": 0.084,
            "verdict": "clean"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.059,
            "verdict": "clean"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.257,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.003,
            "verdict": "clean"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.001,
            "verdict": "clean"
          },
          {
            "name": "GLTR",
            "score": 0.142,
            "verdict": "clean"
          },
          {
            "name": "Log-Rank",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "DivEye",
            "score": 0.033,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.023,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.222,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.013,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ]
      }
    },
    {
      "id": "gpt4-as-alexander",
      "note": "openai/gpt-4 via OpenRouter, prompted to write like Scott Alexander 2014 SSC / Meditations on Moloch, topic: free model from a work laptop",
      "chars": 3067,
      "aiornot": {
        "overall": 0.9591110662453262,
        "detected": true,
        "annotation_mean": 0.5023012846284336,
        "n_spans": 13,
        "spans_under_50": 6,
        "report_id": "5d1aa5c0-2b99-419b-b36c-e0be1e22d9df"
      },
      "sloptotal": {
        "overall_score": 61.5,
        "overall_verdict": "Likely AI-generated",
        "engines_flagged": 10,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.984,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.024,
            "verdict": "clean"
          },
          {
            "name": "Binoculars",
            "score": 0.173,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.815,
            "verdict": "slop"
          },
          {
            "name": "Perplexity",
            "score": 0.946,
            "verdict": "slop"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.927,
            "verdict": "slop"
          },
          {
            "name": "Fakespot",
            "score": 0.95,
            "verdict": "slop"
          },
          {
            "name": "E5-Small",
            "score": 0.692,
            "verdict": "slop"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.394,
            "verdict": "clean"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 0.874,
            "verdict": "slop"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.999,
            "verdict": "slop"
          },
          {
            "name": "GLTR",
            "score": 0.861,
            "verdict": "slop"
          },
          {
            "name": "Log-Rank",
            "score": 0.894,
            "verdict": "slop"
          },
          {
            "name": "DivEye",
            "score": 0.345,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.236,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 0.128,
            "verdict": "clean"
          },
          {
            "name": "Structural Analysis",
            "score": 0.111,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.082,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.023,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.144,
            "verdict": "clean"
          }
        ],
        "anchors": {
          "TMR Detector": 0.984,
          "ReMoDetect": 0.024,
          "Fakespot": 0.95,
          "E5-Small": 0.692,
          "ChatGPT Detector": 0.0,
          "Desklib DeBERTa": 0.874,
          "SuperAnnotate": 0.999
        }
      }
    },
    {
      "id": "gpt4-no-persona",
      "note": "openai/gpt-4 via OpenRouter, same topic, no named-author instruction",
      "chars": 4779,
      "aiornot": {
        "overall": 0.9999999979591259,
        "detected": true,
        "annotation_mean": 0.8660575051578352,
        "n_spans": 20,
        "spans_under_50": 2,
        "report_id": "5ca656ac-90ed-4b33-8f28-fd273f856392"
      },
      "sloptotal": {
        "overall_score": 83.1,
        "overall_verdict": "Slop detected",
        "engines_flagged": 13,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.987,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.913,
            "verdict": "slop"
          },
          {
            "name": "Binoculars",
            "score": 0.308,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "Perplexity",
            "score": 0.858,
            "verdict": "slop"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.769,
            "verdict": "slop"
          },
          {
            "name": "Fakespot",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "E5-Small",
            "score": 0.949,
            "verdict": "slop"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.966,
            "verdict": "slop"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.087,
            "verdict": "clean"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.273,
            "verdict": "clean"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.999,
            "verdict": "slop"
          },
          {
            "name": "GLTR",
            "score": 0.635,
            "verdict": "suspicious"
          },
          {
            "name": "Log-Rank",
            "score": 0.761,
            "verdict": "slop"
          },
          {
            "name": "DivEye",
            "score": 0.086,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Linguistic Markers",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "Structural Analysis",
            "score": 0.17,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.028,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.35,
            "verdict": "clean"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.225,
            "verdict": "clean"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.0,
            "verdict": "clean"
          }
        ],
        "anchors": {
          "TMR Detector": 0.987,
          "ReMoDetect": 0.913,
          "Fakespot": 1.0,
          "E5-Small": 0.949,
          "ChatGPT Detector": 0.273,
          "Desklib DeBERTa": 1.0,
          "SuperAnnotate": 0.999
        }
      }
    },
    {
      "id": "slop-landscape",
      "note": "Hand-written stereotypical assistant cadence (rapidly evolving landscape / delve / tapestry). Positive control.",
      "chars": 1138,
      "aiornot": {
        "overall": 0.9999999901863946,
        "detected": true,
        "annotation_mean": 0.9987636770413362,
        "n_spans": 4,
        "spans_under_50": 0,
        "report_id": "427f45d2-0ea9-4616-ac02-9a12dbb140c7"
      },
      "sloptotal": {
        "overall_score": 97.8,
        "overall_verdict": "Slop detected",
        "engines_flagged": 18,
        "engines_total": 23,
        "engines": [
          {
            "name": "TMR Detector",
            "score": 0.988,
            "verdict": "slop"
          },
          {
            "name": "ReMoDetect",
            "score": 0.985,
            "verdict": "slop"
          },
          {
            "name": "Binoculars",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Fast-DetectGPT",
            "score": 0.777,
            "verdict": "slop"
          },
          {
            "name": "Perplexity",
            "score": 0.927,
            "verdict": "slop"
          },
          {
            "name": "Cross-Perplexity",
            "score": 0.933,
            "verdict": "slop"
          },
          {
            "name": "Fakespot",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "E5-Small",
            "score": 0.96,
            "verdict": "slop"
          },
          {
            "name": "BERT-tiny RAID",
            "score": 0.974,
            "verdict": "slop"
          },
          {
            "name": "OpenAI Detector",
            "score": 0.751,
            "verdict": "slop"
          },
          {
            "name": "ChatGPT Detector",
            "score": 0.977,
            "verdict": "slop"
          },
          {
            "name": "Desklib DeBERTa",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "SuperAnnotate",
            "score": 0.999,
            "verdict": "slop"
          },
          {
            "name": "GLTR",
            "score": 0.825,
            "verdict": "slop"
          },
          {
            "name": "Log-Rank",
            "score": 0.758,
            "verdict": "slop"
          },
          {
            "name": "DivEye",
            "score": 0.282,
            "verdict": "clean"
          },
          {
            "name": "Burstiness",
            "score": 0.481,
            "verdict": "suspicious"
          },
          {
            "name": "Linguistic Markers",
            "score": 1.0,
            "verdict": "slop"
          },
          {
            "name": "Structural Analysis",
            "score": 0.1,
            "verdict": "clean"
          },
          {
            "name": "Vocabulary Richness",
            "score": 0.0,
            "verdict": "clean"
          },
          {
            "name": "Formulaic Patterns",
            "score": 0.65,
            "verdict": "suspicious"
          },
          {
            "name": "Readability Uniformity",
            "score": 0.839,
            "verdict": "slop"
          },
          {
            "name": "Sentiment & Hedging",
            "score": 0.35,
            "verdict": "clean"
          }
        ],
        "anchors": {
          "TMR Detector": 0.988,
          "ReMoDetect": 0.985,
          "Fakespot": 1.0,
          "E5-Small": 0.96,
          "ChatGPT Detector": 0.977,
          "Desklib DeBERTa": 1.0,
          "SuperAnnotate": 0.999
        }
      }
    }
  ]
}