{"id":"W2147958963","doi":"10.1093/jnci/djt151","title":"Prevalence of Prostate Cancer on Autopsy: Cross-Sectional Study on Unscreened Caucasian and Asian Men","year":2013,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network; Sunnybrook Health Science Centre; Mount Sinai Hospital","funders":"","keywords":"Medicine; Prostate cancer; Prostate; Logistic regression; Incidence (geometry); Autopsy; Internal medicine; Cancer; Pathological; Demography; Gynecology","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":[0.0008461726,0.0003158299,0.0003558292,0.001147128,0.00052568,0.0006280076,0.0004413529,0.0004172064,0.001294004],"category_scores_gemma":[0.001459673,0.0005632763,0.0003208875,0.00109608,0.000457593,0.0006066068,0.0004920327,0.0004042552,0.0004391766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145933,"about_ca_system_score_gemma":0.0002407831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008789255,"about_ca_topic_score_gemma":0.008077255,"domain_scores_codex":[0.9994,0.000159973,0.00005714766,0.0001521027,0.0001357133,0.00009504544],"domain_scores_gemma":[0.9986518,0.0001779048,0.0004715823,0.0001124245,0.000236541,0.0003498228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000325002,0.00002166575,0.9993762,0.000004154582,0.00002535496,0.00003586712,0.0001258726,0.00000662094,0.00009847401,0.00000325523,0.00002583572,0.0002441487],"study_design_scores_gemma":[0.000002243826,0.00006760511,0.9994678,0.000001675123,0.00001130419,0.0001466693,0.0001936696,0.00002836227,0.00002066493,0.000002800455,0.00005538408,0.000001947958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993843,0.0001031876,0.00003961107,0.000007358739,0.000002218074,0.00001003864,0.0002271816,0.000002437609,0.0002236168],"genre_scores_gemma":[0.9993157,0.00009323008,0.00004643651,0.00002003876,0.000007344017,0.000009326657,0.0003845323,0.00000162569,0.0001215839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008789255,"threshold_uncertainty_score":0.01747614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154005702837509,"score_gpt":0.3715046056899143,"score_spread":0.3199645486615392,"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."}}