{"id":"W4316494482","doi":"10.1186/s12916-022-02721-6","title":"The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis","year":2023,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":25,"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","keywords":"Medicine; Demography; Mortality rate; Inequality; Population; Census; Environmental health; Surgery","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":[0.003875689,0.0002973951,0.0007326273,0.0009910573,0.0002291866,0.0009300409,0.0007623777,0.0006223888,0.001915099],"category_scores_gemma":[0.006942675,0.0002145227,0.001758721,0.001441261,0.0003570899,0.0003980933,0.0008341038,0.0009593456,0.0001789321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124185,"about_ca_system_score_gemma":0.001145816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03477814,"about_ca_topic_score_gemma":0.009929464,"domain_scores_codex":[0.9985038,0.0006377877,0.0001734195,0.0002433697,0.0001559192,0.0002857016],"domain_scores_gemma":[0.9957748,0.001898981,0.001466453,0.0003373296,0.0003131625,0.000209254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009259811,0.0001464195,0.9807796,0.000176422,0.001182809,0.000472476,0.0003901822,0.007488201,0.0002768227,0.0006356796,0.0007066223,0.006818833],"study_design_scores_gemma":[0.00005352341,0.0003746325,0.9564302,0.00009057664,0.0006448023,0.00009651898,0.0004976091,0.0403715,0.0003064396,0.000315261,0.0007946317,0.00002427326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960548,0.0006484916,0.001002094,0.0002938997,0.00002323155,0.00002973818,0.001547527,0.00001781986,0.0003825087],"genre_scores_gemma":[0.9979433,0.000169941,0.0002703125,0.00003832243,0.00001240934,0.00002965295,0.001249054,0.000003324102,0.0002835527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03477814,"threshold_uncertainty_score":0.06915146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397615620066004,"score_gpt":0.4142161840791505,"score_spread":0.27445462207255,"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."}}