{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020901,0.00008412952,0.0004673509,0.0001851056,0.00001342069,0.000002949814,0.00002850959,0.0001247302,0.0001188948],"category_scores_gemma":[0.00003170275,0.0000500012,0.00004102508,0.0003576857,0.0001438665,0.00005262073,0.00002199129,0.00008549878,2.388678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003514202,"about_ca_system_score_gemma":0.0001788734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007712523,"about_ca_topic_score_gemma":0.01527268,"domain_scores_codex":[0.99927,0.0000429361,0.0002027991,0.0001847969,0.000137788,0.0001616379],"domain_scores_gemma":[0.99954,0.00007312025,0.0001278588,0.0001018823,0.00008221758,0.00007495734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000940908,0.0001463698,0.9851211,0.0000117346,0.0005545807,0.00001507499,0.000120102,0.00002020251,0.001617615,0.000008048657,0.00001194596,0.01143234],"study_design_scores_gemma":[0.003965344,0.0006396867,0.9936852,0.00003243512,0.0007326858,7.237854e-7,0.0000327975,0.000452253,0.0002163538,0.000007694,0.0001663606,0.00006845905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992733,0.00003533894,0.00007351685,0.0001351367,0.00007644633,0.000186608,0.00006345985,0.000005967935,0.0001502527],"genre_scores_gemma":[0.999764,0.00004043064,0.00003351978,0.00007949735,0.00003845367,0.00001351288,0.00001006566,0.000007486468,0.00001307735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01136388,"threshold_uncertainty_score":0.9988952,"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."}}