{"id":"W3126832203","doi":"10.15288/jsad.2021.82.5","title":"A Festival of Epiphanies: Three Revelations in Support of Better Alcohol Control Policies","year":2021,"lang":"en","type":"article","venue":"Journal of Studies on Alcohol and Drugs","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Control (management); Poison control; Injury prevention; Suicide prevention; Forensic engineering; Occupational safety and health; Medical emergency; Psychology; Medicine; Engineering; Computer science; Artificial intelligence","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":[0.03262703,0.0004567422,0.0009214792,0.001185327,0.01086091,0.009925228,0.002245737,0.01763636,0.009141017],"category_scores_gemma":[0.1321059,0.000622361,0.0006854943,0.00186388,0.02218056,0.01024903,0.00926186,0.0387832,0.000771973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005653501,"about_ca_system_score_gemma":0.007801252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477325,"about_ca_topic_score_gemma":0.02105015,"domain_scores_codex":[0.9846749,0.007814523,0.0007397594,0.001344101,0.003086521,0.002340148],"domain_scores_gemma":[0.8523959,0.0969789,0.01550861,0.01011686,0.01086207,0.01413761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009066585,0.000196123,0.009482628,0.0005813426,0.0002734112,0.0009328803,0.05832952,0.0001797511,0.0008536826,0.3732784,0.5171933,0.03779233],"study_design_scores_gemma":[0.0002934478,0.000186743,0.03024922,0.001262982,0.0001054172,0.0004809421,0.07013788,0.0003017975,0.001645461,0.09623165,0.7988588,0.0002455643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01976893,0.003796017,0.0004769111,0.9587986,0.006553974,0.00001226484,0.000200286,0.00002525099,0.01036765],"genre_scores_gemma":[0.5203792,0.002788297,0.0009023774,0.4584172,0.01082207,0.00006709705,0.0001514568,0.0001488153,0.006323487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03262703,"threshold_uncertainty_score":0.1725503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05471443691142248,"score_gpt":0.3462418621711792,"score_spread":0.2915274252597567,"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."}}