{"id":"W3006080005","doi":"10.1158/1055-9965.epi-19-0348","title":"Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Breast cancer; Body mass index; Overweight; MAMMOGRAPHIC DENSITY; Population; Cohort; Environmental health; Mammography; Internal medicine; Demography; Oncology; Cancer","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":[0.001957411,0.0006074923,0.001324282,0.001225911,0.0002575898,0.0009147056,0.0005032473,0.0006260304,0.001170295],"category_scores_gemma":[0.003336669,0.0005413567,0.005365041,0.002885892,0.000214669,0.0003046307,0.000504442,0.0004766931,0.0001318059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112988,"about_ca_system_score_gemma":0.0003696506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309495,"about_ca_topic_score_gemma":0.01197283,"domain_scores_codex":[0.9986879,0.0004731306,0.0002288311,0.000323108,0.0002193022,0.00006774352],"domain_scores_gemma":[0.9984125,0.0006379013,0.0005951706,0.0001504801,0.0001528956,0.00005099469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004440095,0.0000725984,0.8583161,0.00458905,0.1204277,0.0001424744,0.0000862801,0.0005765838,0.0006084465,0.00007237249,0.0007502106,0.009918162],"study_design_scores_gemma":[0.0007159931,0.0004235335,0.8434865,0.0007196102,0.1503124,0.0002527699,0.00009959135,0.0009293321,0.0003953229,0.0001950983,0.002442528,0.0000274636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477468,0.2394749,0.001430344,0.0004429874,0.00019033,0.0001119378,0.009363388,0.00006693432,0.001172375],"genre_scores_gemma":[0.9840372,0.01359927,0.0003409541,0.0001669328,0.0000722213,0.00008723981,0.001382375,0.000008526333,0.000305217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309495,"threshold_uncertainty_score":0.02603745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06488693810401552,"score_gpt":0.3376986292822528,"score_spread":0.2728116911782373,"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."}}