{"id":"W2344299556","doi":"10.1186/s12889-016-3026-9","title":"Modelling the impact of alcohol consumption on cardiovascular disease mortality for comparative risk assessments: an overview","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Medicine; Biostatistics; Environmental health; Epidemiology; Attributable risk; Public health; Relative risk; Demography; Alcohol; Disease; Risk factor; Cohort study; Alcohol consumption; Population; Internal medicine; Confidence interval; Pathology","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":[0.004055078,0.0002041527,0.0006694872,0.0001170391,0.0002651328,0.00002412922,0.0001214991,0.00006720799,0.00008040874],"category_scores_gemma":[0.000225309,0.0001052176,0.00053502,0.0001421806,0.0001192394,0.0002249155,0.00002068796,0.0001691706,0.00002515039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588423,"about_ca_system_score_gemma":0.002312814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166941,"about_ca_topic_score_gemma":0.00003594869,"domain_scores_codex":[0.9969464,0.001099852,0.0005431,0.0004030542,0.0005148309,0.0004927919],"domain_scores_gemma":[0.9969645,0.0005488852,0.0003642281,0.0009473387,0.0002858105,0.0008892194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00178092,0.001966531,0.9282868,0.004463956,0.002403056,0.000003165912,0.0008841799,0.01447297,0.00002201452,0.01194767,0.002364195,0.03140456],"study_design_scores_gemma":[0.004942303,0.001295277,0.8691278,0.0004902576,0.0002347816,0.000003997961,0.00005629022,0.1200602,0.000004818022,0.0003377853,0.003276879,0.0001696936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649595,0.004897551,0.1255657,0.000874482,0.0001099485,0.003069563,0.0003915121,0.00006850195,0.0000632311],"genre_scores_gemma":[0.9936035,0.004646283,0.0007073088,0.0005325068,0.0001370114,0.000237931,0.00009116688,0.00002146772,0.00002286997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1286439,"threshold_uncertainty_score":0.429065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6094789439365237,"score_gpt":0.5454827651502856,"score_spread":0.06399617878623809,"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."}}