{"id":"W4318163983","doi":"10.1093/aje/kwad018","title":"Simulation of Alcohol Control Policies for Health Equity (SIMAH) Project: Study Design and First Results","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; Universitätsklinikum Hamburg-Eppendorf; Campbell Family Mental Health Research Institute; Temerty Faculty of Medicine, University of Toronto; College of Pharmacy, University of Michigan; National Institutes of Health; I.M. Sechenov First Moscow State Medical University; University of Toronto; Centers for Disease Control and Prevention; Technische Universität Dresden; University of Michigan","keywords":"Microsimulation; Life expectancy; Counterfactual thinking; Socioeconomic status; Psychological intervention; Health equity; Baseline (sea); Equity (law); Environmental health; Public health; Psychology; Population; Gerontology; Medicine; Social psychology; Political science; Engineering","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":[0.01134677,0.001377248,0.001247336,0.0008259065,0.0006012695,0.0008853741,0.001853797,0.001419154,0.009520588],"category_scores_gemma":[0.02463265,0.0007440024,0.001354989,0.001074526,0.0007632708,0.0008034613,0.002101688,0.001498668,0.00063203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334927,"about_ca_system_score_gemma":0.004809228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212602,"about_ca_topic_score_gemma":0.0105033,"domain_scores_codex":[0.9942632,0.004687514,0.0001390723,0.0003487862,0.0002297298,0.0003316901],"domain_scores_gemma":[0.9852283,0.01046298,0.0008103542,0.001413919,0.001443796,0.0006405771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01268246,0.0125725,0.06102383,0.001007382,0.00116755,0.0002742788,0.0007332896,0.8099932,0.000990221,0.02066764,0.01259327,0.06629432],"study_design_scores_gemma":[0.006793641,0.006975994,0.01542387,0.0001585441,0.0005409989,0.0000873322,0.0008927905,0.9425932,0.002915017,0.01549132,0.007968047,0.0001592692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385172,0.0005244616,0.09940369,0.001868644,0.0002030618,0.02118411,0.02272282,0.0008236317,0.01475246],"genre_scores_gemma":[0.8660467,0.0004203545,0.08478335,0.0003972948,0.00006908941,0.03714517,0.00825432,0.0001251086,0.002758672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212602,"threshold_uncertainty_score":0.06000817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4439156937369869,"score_gpt":0.5502038333867891,"score_spread":0.1062881396498022,"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."}}