{"id":"W2971610220","doi":"10.1111/add.14796","title":"Alcohol control policy and changes in alcohol‐related traffic harm","year":2019,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"World Health Organization","keywords":"Environmental health; Alcohol; Poison control; Injury prevention; Medicine; Occupational safety and health; Alcohol consumption; Harm; Purchasing; Suicide prevention; Human factors and ergonomics; Legislation; Confidence interval; Demography; Economics; Psychology; Operations management; Internal medicine; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007509397,0.0001083415,0.0002114437,0.0002257712,0.0000226659,0.000007802597,0.00001999976,0.00008960631,0.0003560245],"category_scores_gemma":[0.0000225672,0.00008912799,0.00003566379,0.0002202437,0.00002145051,0.00008204651,0.000003444175,0.00009753811,0.0001647015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007872194,"about_ca_system_score_gemma":0.00002638599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005129973,"about_ca_topic_score_gemma":0.0002120766,"domain_scores_codex":[0.9993934,0.00001985194,0.000123338,0.0001769655,0.0001078869,0.0001785261],"domain_scores_gemma":[0.9996977,0.00005780831,0.00004043046,0.000126167,0.00001904651,0.00005888638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003745835,0.0001216547,0.9134175,0.00001519691,0.0002395481,0.00004519816,0.001690256,0.00006327939,0.003689524,0.0001901693,0.0004285177,0.07972457],"study_design_scores_gemma":[0.01641873,0.0003038327,0.9780461,0.0001097835,0.0001506094,0.00004887753,0.000303847,0.001758288,0.0008330651,0.00003062439,0.001870558,0.000125747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945624,0.0008059582,0.000001085417,0.001903369,0.0002075559,0.0004773523,0.000002695305,0.0000923078,0.001947215],"genre_scores_gemma":[0.9964768,0.0003971038,0.00001642671,0.0006196973,0.0001037622,0.00001687073,0.00004188559,0.00001287585,0.002314525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07959881,"threshold_uncertainty_score":0.3898219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689476136384659,"score_gpt":0.2794890726668072,"score_spread":0.2625943113029606,"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."}}