{"id":"W2153048764","doi":"10.1186/1471-2288-13-24","title":"The effects of capping the alcohol consumption distribution and relative risk functions on the estimated number of deaths attributable to alcohol consumption in the European Union in 2004","year":2013,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; Ontario Ministry of Health and Long-Term Care","keywords":"Per capita; Attributable risk; Alcohol; Relative risk; European union; Alcohol consumption; Consumption (sociology); Environmental health; Medicine; Demography; Distribution (mathematics); Population; Chemistry; Confidence interval; Mathematics; Internal medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03907192,0.0009755089,0.001120616,0.001274992,0.0002866944,0.001776647,0.001825697,0.001579016,0.0008591642],"category_scores_gemma":[0.1015457,0.0005076581,0.002249296,0.00212772,0.0009881604,0.001645023,0.001735914,0.001310066,0.00024774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003636061,"about_ca_system_score_gemma":0.001171951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053854,"about_ca_topic_score_gemma":0.005444439,"domain_scores_codex":[0.9660346,0.02879445,0.001046334,0.001984931,0.001634296,0.0005054066],"domain_scores_gemma":[0.8746094,0.1040688,0.01015875,0.005209388,0.005516781,0.0004368823],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004950054,0.000215025,0.3415419,0.0005397464,0.002906101,0.0005598009,0.0005670298,0.5486659,0.0004185963,0.008058281,0.004010933,0.0875667],"study_design_scores_gemma":[0.0003729423,0.001799254,0.5243373,0.0006805426,0.002048306,0.001315319,0.0009944944,0.4377263,0.004503826,0.01360383,0.01233665,0.0002812232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431124,0.006363316,0.03955929,0.001743573,0.0001580677,0.0001037995,0.003438926,0.0003253411,0.005195241],"genre_scores_gemma":[0.9858431,0.0006591296,0.01023596,0.0004024336,0.00003386005,0.0001010747,0.002091147,0.0000429704,0.0005903071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9609281,"threshold_uncertainty_score":0.2066346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3416457408863121,"score_gpt":0.4894035659843552,"score_spread":0.1477578250980431,"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."}}