{"id":"W4394680863","doi":"10.1016/j.humpath.2024.04.002","title":"Long term evaluation of optimized Gleason grading in a large cohort of men with prostate cancer in Canada","year":2024,"lang":"en","type":"article","venue":"Human Pathology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; McGill University; Université du Québec à Montréal; Université de Sherbrooke; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; McGill University Health Centre; Canadian Institutes of Health Research; Cancer Research Society; McGill University","keywords":"Medicine; Prostate cancer; Prostatectomy; Hazard ratio; Concordance; Cohort; Urology; Prospective cohort study; Proportional hazards model; Confidence interval; Prostate; Metastasis; Internal medicine; Oncology; Genitourinary system; Cancer; Gynecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004198369,0.00009160871,0.0003416929,0.0001370431,0.00001043275,0.000002565043,0.00002867788,0.00002999006,0.00013684],"category_scores_gemma":[0.00001147907,0.00007081246,0.00002047621,0.0001638125,0.00003297602,0.00003215761,0.00001420357,0.00009091544,2.749188e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028685,"about_ca_system_score_gemma":0.001088174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1967879,"about_ca_topic_score_gemma":0.7534915,"domain_scores_codex":[0.9990442,0.00007958458,0.0002636243,0.0002161015,0.0002196066,0.0001768819],"domain_scores_gemma":[0.9996697,0.00002686753,0.00007202154,0.0001259258,0.00007474201,0.00003069814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001776619,0.0001054314,0.9920081,0.0002425434,0.00006590432,0.0006465438,0.001153316,0.0003307521,0.0009856955,0.00006358941,0.00005997637,0.004160491],"study_design_scores_gemma":[0.00426705,0.000230301,0.9895849,0.001000239,0.0001954668,0.00002131124,0.0001372444,0.001489978,0.002964131,0.00004097369,0.000007332756,0.00006110727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933514,0.004947377,0.000003582025,0.000150344,0.00004724492,0.0009438109,0.00005465276,0.000005989743,0.0004956039],"genre_scores_gemma":[0.9989389,0.0004040674,0.00004128416,0.00002429795,0.00001064091,0.0004763217,0.00005288286,0.00001351561,0.00003805454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5567035,"threshold_uncertainty_score":0.8085607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343797389625666,"score_gpt":0.3239936443279918,"score_spread":0.3005556704317351,"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."}}