{"id":"W4319337040","doi":"10.1159/000529200","title":"Using Direct and Indirect Estimates for Alcohol-Attributable Mortality: A Modelling Study Using the Example of Lithuania","year":2023,"lang":"en","type":"article","venue":"European Addiction Research","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"Institute of Neurosciences, Mental Health and Addiction; National Institute on Alcohol Abuse and Alcoholism; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Environmental health; Psychology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00924243,0.0009407566,0.001657663,0.001611828,0.0004585231,0.001479705,0.0014271,0.0009611708,0.003343158],"category_scores_gemma":[0.01402151,0.0004379491,0.00683634,0.002534641,0.0004253449,0.0007594346,0.001224131,0.000855493,0.0003694297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140898,"about_ca_system_score_gemma":0.001657574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095792,"about_ca_topic_score_gemma":0.02007127,"domain_scores_codex":[0.995421,0.003713734,0.0001793274,0.0003286002,0.0001597548,0.0001976062],"domain_scores_gemma":[0.9869933,0.01080817,0.0007991614,0.0007285672,0.0005811421,0.00008970115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00735743,0.0009568057,0.528318,0.005098975,0.02333469,0.003328553,0.002923403,0.3269426,0.001270128,0.02272845,0.005140631,0.0726002],"study_design_scores_gemma":[0.001934229,0.004386573,0.2936359,0.00282379,0.02545321,0.001856103,0.003855385,0.628158,0.0027544,0.01890454,0.01579725,0.0004405401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580427,0.005560603,0.02864181,0.0006290179,0.00009106725,0.0003336028,0.00226769,0.0001255547,0.004307883],"genre_scores_gemma":[0.9848578,0.00153597,0.01094225,0.00006734758,0.0000229188,0.0003993119,0.0008831247,0.00003184025,0.001259396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04095792,"threshold_uncertainty_score":0.08143908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6941360464473909,"score_gpt":0.5303628109434452,"score_spread":0.1637732355039457,"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."}}