{"id":"W2945416374","doi":"10.1016/j.clon.2019.04.012","title":"Who Dies From Prostate Cancer? An Analysis of the Surveillance, Epidemiology and End Results Database","year":2019,"lang":"en","type":"article","venue":"Clinical Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; Ottawa Regional Cancer Foundation; University of Ottawa","funders":"","keywords":"Medicine; Confidence interval; Hazard ratio; Prostate cancer; Epidemiology; Population; Surveillance, Epidemiology, and End Results; Internal medicine; Proportional hazards model; Prostate; Database; Oncology; Cancer; Gynecology; Cancer registry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002721285,0.0004395858,0.001676717,0.003725816,0.0007345218,0.001698408,0.001368445,0.0009864852,0.001808747],"category_scores_gemma":[0.01266435,0.0006293095,0.0018218,0.01141916,0.0002778402,0.001684172,0.001654737,0.001271781,0.0004063606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311456,"about_ca_system_score_gemma":0.001913425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04301506,"about_ca_topic_score_gemma":0.04928002,"domain_scores_codex":[0.9950524,0.00139341,0.001106619,0.001070418,0.0008643387,0.0005128417],"domain_scores_gemma":[0.9884765,0.003265567,0.005480878,0.0007986384,0.001119254,0.0008592517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002970445,0.00005695433,0.9956316,0.0001104562,0.00052761,0.00005797229,0.00007678587,0.0001095858,0.00003608335,0.0000663305,0.001731338,0.001298275],"study_design_scores_gemma":[0.0000445453,0.00004506837,0.9976016,0.00005013691,0.000264443,0.0001581609,0.0003244836,0.0004882025,0.00003699721,0.00004774216,0.0009268552,0.00001177729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897925,0.004035797,0.0002517682,0.0007852042,0.00003052886,0.000112454,0.09523994,0.0000228207,0.001596471],"genre_scores_gemma":[0.9219152,0.001949927,0.0004721254,0.0004745361,0.00005238711,0.0001856163,0.07454015,0.00002070097,0.0003893174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04301506,"threshold_uncertainty_score":0.08552939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140310888500237,"score_gpt":0.4634013679303562,"score_spread":0.3493702790803325,"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."}}