{"id":"W2768731979","doi":"10.4103/jpi.jpi_50_17","title":"Next Generation Quality: Assessing the Physician in Clinical History Completeness and Diagnostic Interpretations Using Funnel Plots and Normalized Deviations Plots in 3,854 Prostate Biopsies","year":2017,"lang":"en","type":"article","venue":"Journal of Pathology Informatics","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Funnel plot; Medicine; Audit; Categorization; Medical physics; Statistics; Pathology; Artificial intelligence; Computer science; Publication bias; Meta-analysis; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.011845,0.0001107089,0.0004223082,0.0002532049,0.0003530888,0.0004710158,0.0003655905,0.00008063232,0.000004073882],"category_scores_gemma":[0.01265832,0.00007105213,0.00006501299,0.0001030081,0.00048735,0.002074081,0.0001413914,0.0003490362,0.000002533766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198941,"about_ca_system_score_gemma":0.0001779603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001991799,"about_ca_topic_score_gemma":0.0001988286,"domain_scores_codex":[0.9960147,0.0008017677,0.002397016,0.0001028853,0.0005236731,0.0001599463],"domain_scores_gemma":[0.994365,0.002573954,0.002277997,0.0003217327,0.000406155,0.00005516662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003397643,0.0001953967,0.9309102,0.00005241928,0.00002676985,0.00003262264,0.02632094,0.004181632,0.001918834,0.0005633081,0.0001515872,0.03561229],"study_design_scores_gemma":[0.000946101,0.00008379138,0.9009542,0.0001706002,0.00003279211,0.00005653927,0.009796003,0.08452345,0.00001812695,0.003044487,0.0002689861,0.000104857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900864,0.0002432762,0.007926153,0.000876105,0.0005751304,0.0002026808,0.000004901326,0.000002629366,0.00008270947],"genre_scores_gemma":[0.9947037,0.0002195367,0.004376725,0.0006197917,0.00006594378,0.00000456152,0.000001458518,0.000003810972,0.00000446949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08034182,"threshold_uncertainty_score":0.9956585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5222789496249143,"score_gpt":0.4937105962387512,"score_spread":0.02856835338616304,"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."}}