{"id":"W2123702717","doi":"10.1158/1055-9965.epi-09-0517","title":"Associations between Smoking, Alcohol Consumption, and Colorectal Cancer, Overall and by Tumor Microsatellite Instability Status","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"National Cancer Institute; National Institutes of Health; Mayo Clinic","keywords":"Medicine; Colorectal cancer; Odds ratio; Microsatellite instability; Internal medicine; Confidence interval; Population; Cancer; Logistic regression; Oncology; Demography; Environmental health; Microsatellite; Allele; Biology; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001300782,0.0002527766,0.0006785535,0.0001216245,0.0002474773,0.00001936407,0.00004946898,0.0002715787,0.00007138842],"category_scores_gemma":[0.0004878448,0.0002514457,0.0001218287,0.0001645849,0.0002948135,0.0001683225,0.00003689826,0.000307416,0.000001676178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370898,"about_ca_system_score_gemma":0.0001638572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330628,"about_ca_topic_score_gemma":0.0006078591,"domain_scores_codex":[0.9975814,0.0004794463,0.0006534514,0.0006633419,0.000123748,0.000498579],"domain_scores_gemma":[0.9985479,0.000439689,0.0004469242,0.0001620124,0.0001239935,0.0002795089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001040114,0.0000457229,0.9097966,0.00004084818,0.0003014297,0.00000108376,0.00008674055,0.000001542122,0.004798847,0.00002522203,0.003559357,0.08030249],"study_design_scores_gemma":[0.00200673,0.0009139412,0.9878727,0.0001635937,0.000383903,0.00001412015,0.00001363702,0.0001394354,0.001751739,0.002093714,0.004417562,0.000228907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621895,0.03297538,0.0004406653,0.002806464,0.0003202978,0.0007214335,0.0003357916,0.0001249594,0.00008551035],"genre_scores_gemma":[0.9906823,0.006982873,0.0006544952,0.0008389271,0.0001833922,0.0001155627,0.0003885914,0.00001656955,0.0001373089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08007358,"threshold_uncertainty_score":0.9999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313330370674879,"score_gpt":0.3692841490181512,"score_spread":0.3161508453114024,"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."}}