{"id":"W6907887339","doi":"10.25384/sage.c.4839789","title":"Occupation as a predictor of prostate cancer screening behaviour in Canada","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rectal examination; Prostate cancer screening; Prostate cancer; Prostate-specific antigen; Logistic regression; Odds ratio; Prostate; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007005963,0.0002892268,0.0003749314,0.001412784,0.003087299,0.001285064,0.001183679,0.0004823887,0.003231623],"category_scores_gemma":[0.002720461,0.0003044057,0.0005303543,0.003190568,0.001044234,0.0002701619,0.0009212287,0.0007507313,0.0002254733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0192558,"about_ca_system_score_gemma":0.03197895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945971,"about_ca_topic_score_gemma":0.9959193,"domain_scores_codex":[0.9986653,0.0001455534,0.00007304543,0.0001919269,0.0004485299,0.0004755041],"domain_scores_gemma":[0.996608,0.0002238445,0.0005589165,0.00009114051,0.001290935,0.00122728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003206237,0.00001771466,0.9959443,0.00001355485,0.00002561724,0.00004989401,0.0002965959,0.00006550943,0.00006940654,0.00005807097,0.0007174433,0.002709827],"study_design_scores_gemma":[0.000003541082,0.00001240537,0.9985729,0.00002848615,0.00001165768,0.00003667012,0.00056585,0.0002360597,0.00002473516,0.00002460646,0.0004766569,0.000006544457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991722,0.001504158,0.000150279,0.001125888,0.00003457775,0.0000279903,0.002010453,0.0000180544,0.003406537],"genre_scores_gemma":[0.9984071,0.0003636045,0.00009099836,0.00007739454,0.000006573505,0.000005216248,0.0004129293,0.000004407829,0.0006318155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0192558,"threshold_uncertainty_score":0.1397113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082027062414753,"score_gpt":0.3314115337489053,"score_spread":0.2805912631247577,"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."}}