{"id":"W2395076114","doi":"10.1001/jamaoncol.2016.0732","title":"Analysis of Body Mass Index and Mortality in Patients With Colorectal Cancer Using Causal Diagrams","year":2016,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Underweight; Body mass index; Colorectal cancer; Population; Hazard ratio; Retrospective cohort study; Internal medicine; Cancer; Cohort study; Surgery; Overweight; Confidence interval","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":[0.03004721,0.001052814,0.001196926,0.009249398,0.000740699,0.002336373,0.001248444,0.001157306,0.005254366],"category_scores_gemma":[0.1409397,0.0008960903,0.004308066,0.004931371,0.001031551,0.002671347,0.001740885,0.001081965,0.0002579403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738381,"about_ca_system_score_gemma":0.002001423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307246,"about_ca_topic_score_gemma":0.008317049,"domain_scores_codex":[0.9771715,0.01911398,0.0009053127,0.001451327,0.00110411,0.0002537814],"domain_scores_gemma":[0.6888531,0.2881296,0.01590216,0.004195787,0.002227722,0.0006916925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000900712,0.0002434311,0.7780053,0.001185393,0.009073462,0.0004011075,0.0005624596,0.1118857,0.0001471778,0.03599792,0.001997252,0.05960001],"study_design_scores_gemma":[0.0004511442,0.0003663352,0.09056345,0.0006962614,0.004704817,0.0005661623,0.0004198231,0.7776027,0.0002501478,0.1186073,0.005654396,0.0001175629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4496757,0.01588811,0.5150659,0.005002236,0.0003257145,0.0009886104,0.007780693,0.001053024,0.004220085],"genre_scores_gemma":[0.9353644,0.002679907,0.05826092,0.0002051168,0.0001791601,0.0005135437,0.00220259,0.00003906116,0.0005552086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03004721,"threshold_uncertainty_score":0.1589067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877962362137314,"score_gpt":0.3317732007112069,"score_spread":0.3129935770898338,"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."}}