{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001614418,0.0001362317,0.001542854,0.00006171389,0.00003576615,0.000002589758,0.000116132,0.0001783861,0.0001255071],"category_scores_gemma":[0.001544309,0.00007842069,0.0002180241,0.0002523455,0.0005125625,0.00004311797,0.0001489635,0.0002447618,0.00000668021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009973636,"about_ca_system_score_gemma":0.0002788922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541728,"about_ca_topic_score_gemma":0.005268083,"domain_scores_codex":[0.9973056,0.0007831614,0.001016237,0.0005598053,0.00009392813,0.0002412338],"domain_scores_gemma":[0.9930671,0.005390968,0.0005399581,0.0007056067,0.0001119964,0.0001843787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384648,0.0003862347,0.9547161,0.00001776852,0.001353447,0.00001180381,0.0001421606,0.00004768186,0.00003381055,0.0001177658,0.0010396,0.04074897],"study_design_scores_gemma":[0.003640123,0.002085879,0.9697394,0.00005360634,0.001177531,0.00000114553,0.0000727923,0.00106179,0.00005772723,0.0001406317,0.02189418,0.00007518911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846558,0.002311684,0.000002593575,0.009518651,0.0005402978,0.0004814522,0.001749435,0.00001307615,0.0007270045],"genre_scores_gemma":[0.9811601,0.01513373,0.0002694234,0.002500694,0.0001507737,0.00005132828,0.0004147833,0.000009670463,0.0003094978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04067378,"threshold_uncertainty_score":0.3842349,"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."}}