{"id":"W2017498570","doi":"10.1016/j.ypmed.2012.09.017","title":"Towards more eclectic evidence-based medicine in cancer prevention and control","year":2012,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institutes of Health; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Medicine; Myocardial infarction; Internal medicine; Hazard ratio; Diabetes mellitus; Type 2 diabetes; Coronary heart disease; Cohort; Proportional hazards model; Cardiology; Type 2 Diabetes Mellitus; Confidence interval; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009489786,0.0001909647,0.0003523542,0.00009693091,0.00003980754,0.000003669597,0.0001106197,0.0001004338,0.0004135162],"category_scores_gemma":[0.0005275473,0.0001419726,0.00004665955,0.0001658319,0.0002675366,0.00001751445,0.00003337553,0.0001165696,0.000002065456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004077222,"about_ca_system_score_gemma":0.00009779496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406991,"about_ca_topic_score_gemma":0.0001163659,"domain_scores_codex":[0.9985981,0.0002240713,0.0002970237,0.0003011887,0.0002362309,0.000343411],"domain_scores_gemma":[0.99935,0.00004747352,0.0001320595,0.0002122222,0.0001010326,0.0001572357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006757007,0.0003359358,0.2164159,0.0004856845,0.0002833499,0.000003910208,0.001624259,0.00002892092,0.1780292,0.0001824959,0.0065312,0.5954035],"study_design_scores_gemma":[0.01762392,0.002533939,0.7220599,0.004495146,0.0009941638,0.00001176506,0.0009203583,0.0003634781,0.1054749,0.001188555,0.14347,0.0008638839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4156139,0.5800822,0.002175825,0.001103449,0.0004298302,0.0003706312,0.000004876364,0.000007713207,0.0002114647],"genre_scores_gemma":[0.9597448,0.03671431,0.00006588015,0.001471402,0.001413867,0.0001876848,0.00002644001,0.00001866488,0.0003569662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5945396,"threshold_uncertainty_score":0.5789474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204635877614454,"score_gpt":0.3460497631174397,"score_spread":0.3140034043412951,"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."}}