{"id":"W4393185895","doi":"10.1016/j.drugpo.2024.104373","title":"Alcohol policy changes during the first three-months of the COVID-19 pandemic: Development and application of a classification scheme","year":2024,"lang":"en","type":"review","venue":"International Journal of Drug Policy","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre on Substance Use and Addiction","funders":"ERAB: The European Foundation for Alcohol Research; National Institute for Health and Care Research","keywords":"Subsidy; Pandemic; Harm; Government (linguistics); Business; Jurisdiction; Control (management); Population; Health policy; Public economics; Public policy; Political science; Environmental health; Coronavirus disease 2019 (COVID-19); Economics; Economic growth; Medicine; Health care; Law; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0475048,0.000896293,0.001356877,0.02502468,0.001131293,0.002825665,0.001941728,0.0009362347,0.002902511],"category_scores_gemma":[0.1308177,0.0005714235,0.003963477,0.02567225,0.001494325,0.004244369,0.003486234,0.001428069,0.0005295645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007365198,"about_ca_system_score_gemma":0.02044265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0357284,"about_ca_topic_score_gemma":0.05487239,"domain_scores_codex":[0.9599465,0.0148908,0.01641866,0.00247872,0.005222152,0.001043199],"domain_scores_gemma":[0.8778292,0.06159037,0.0262179,0.006747229,0.0264375,0.001177805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001470592,0.0001695927,0.4172057,0.1068617,0.002954723,0.0003454307,0.01789529,0.006400426,0.001531974,0.01195802,0.0392936,0.3939129],"study_design_scores_gemma":[0.000712574,0.0009905979,0.7053643,0.06840414,0.005511228,0.0006342826,0.02367833,0.01675916,0.002572855,0.01184071,0.1630947,0.0004369991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4808188,0.08270996,0.1057802,0.01739578,0.002080755,0.06739725,0.1954283,0.001619198,0.04676966],"genre_scores_gemma":[0.607271,0.01827642,0.284014,0.001405181,0.0001540534,0.04043807,0.04676986,0.0001506462,0.00152066],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0475048,"threshold_uncertainty_score":0.2512324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028693337996299,"score_gpt":0.4179363094001645,"score_spread":0.3150669756005345,"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."}}