{"id":"W2525719497","doi":"10.1093/ajcp/aqw132","title":"Clinical Action Curves","year":2016,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Action (physics); Clinical Practice; Statistics; Hazard; Receiver operating characteristic; Plot (graphics); Test (biology); Clinical judgment; Mathematics; Measure (data warehouse); Medicine; Computer science; Data mining; Medical physics; Physics; Physical therapy; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01163869,0.0001551422,0.001909015,0.00008165699,0.00003315051,0.000006687155,0.0002067149,0.0001964099,0.0003907707],"category_scores_gemma":[0.03617391,0.00008495341,0.0009367926,0.0002108305,0.001347207,0.0002110684,0.0000486465,0.00102856,0.0001614754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002209937,"about_ca_system_score_gemma":0.000501469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003632908,"about_ca_topic_score_gemma":0.000005037904,"domain_scores_codex":[0.9924437,0.002665923,0.003920639,0.0003218386,0.0003701194,0.0002777593],"domain_scores_gemma":[0.9814218,0.01292744,0.003713135,0.0004770264,0.0008113821,0.0006492339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00279476,0.0006878763,0.3500265,0.0000168771,0.0001835918,0.0004566053,0.000005928998,5.162499e-8,0.0003122746,0.0001342008,0.004659466,0.6407219],"study_design_scores_gemma":[0.006922533,0.01692574,0.7352874,0.0005408185,0.0006344444,0.001186082,0.0001071892,0.000003987498,0.00002469855,0.0004399514,0.2377566,0.0001705443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254684,0.0005557178,0.002888248,0.06827246,0.002029938,0.0001323691,0.000008434896,0.00002427703,0.0006201807],"genre_scores_gemma":[0.9526017,0.01261445,0.003098877,0.02854905,0.002789019,0.000001759397,9.211651e-7,0.00002184548,0.0003223304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6405514,"threshold_uncertainty_score":0.9719448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2054207574121064,"score_gpt":0.5545334765255535,"score_spread":0.3491127191134472,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}