{"id":"W1947010865","doi":"10.1158/1055-9965.epi-15-0094","title":"Association between Body Mass Index and Mortality for Colorectal Cancer Survivors: Overall and by Tumor Molecular Phenotype","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Cancer Care Ontario; Memorial University of Newfoundland; University Health Network","funders":"National Cancer Institute; Economic and Social Research Council; Medical Research Council; American Association for Cancer Research","keywords":"Microsatellite instability; Hazard ratio; Medicine; Colorectal cancer; Body mass index; Internal medicine; Oncology; Proportional hazards model; Cancer; Rectum; Confidence interval; Gastroenterology; Biology; Allele; Genetics; Microsatellite","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":[0.0006597316,0.0002675019,0.0002745968,0.0004810459,0.0001446181,0.0003422965,0.000245238,0.0003200315,0.001332929],"category_scores_gemma":[0.001349837,0.000173155,0.0005822603,0.0004993887,0.0001714848,0.0002263746,0.0003352124,0.0004982568,0.0001260692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168088,"about_ca_system_score_gemma":0.0001761601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889042,"about_ca_topic_score_gemma":0.004430596,"domain_scores_codex":[0.9997997,0.00005555087,0.0000145224,0.00005229358,0.0000322424,0.00004568231],"domain_scores_gemma":[0.9990677,0.0002185926,0.0003678273,0.00008098554,0.0000767559,0.00018829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002029052,0.000006579128,0.9990124,0.000003594285,0.00006887115,0.00001184079,0.000006343349,0.00004684419,0.00006821473,0.000003474891,0.00003077536,0.000538292],"study_design_scores_gemma":[0.000005745775,0.00007395505,0.9994075,0.000001703969,0.00005489503,0.0000670263,0.00001601886,0.0002988734,0.0000217301,0.00001106545,0.00004033617,0.000001178842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991257,0.0002952614,0.0000736704,0.00003317657,0.000003085496,0.00000309289,0.0002958883,0.000004880746,0.0001652727],"genre_scores_gemma":[0.9993818,0.00007444856,0.00004217844,0.000008793237,0.000008204495,0.000002884667,0.0003910916,0.000001251373,0.00008932855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002889042,"threshold_uncertainty_score":0.005744457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602860650617736,"score_gpt":0.3618228134319223,"score_spread":0.3157942069257449,"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."}}