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      "ylabel": "Positive predictive value",
      "logx": true,
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      "ylabel": "Candidate count"
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  ],
  "title": "Candidate prevalence and selection denominators alter hit rates",
  "assumptions": "Sensitivity 0.8; false-positive rates 0.05/0.01 hypothetical. Selection example starts100,filters50,confirms20. No real molecule or antimicrobial measurements.",
  "worked": "活性比例1%、s=0.8、f=0.05时PPV约0.139130；比例10%时约0.64。20/50=40%与20/100=20%是不同分母。",
  "checks": {
    "ppv_prevalence01": 0.1391304347826087,
    "ppv_prevalence10": 0.64
  },
  "generator_source_sha256": {
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    "ops/datacenter/editorial_guides/deep_figures.py": "158969d9b1f5a4bd13906cf78dd71affc2692df9194593918059d861a6f59c85"
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  "source_ids": [
    "antibiotic-explain",
    "abaucin",
    "posebusters"
  ],
  "formula_source": "Article equations and this versioned script",
  "diagram_nodes": [
    "化学库与完整分母",
    "冻结排序和家族距离",
    "样品身份与独立活性",
    "选择性和机制线索",
    "临床前证据分层",
    "可复核确认与更正"
  ]
}