{"id":"W4409147875","doi":"10.1016/j.puhe.2025.03.027","title":"The impact of alcohol control policy on assaults and sexual assaults in Lithuania: An interrupted time-series analysis","year":2025,"lang":"en","type":"article","venue":"Public Health","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Alcohol; Poison control; Sexual violence; Injury prevention; Population; Suicide prevention; Environmental health; Recession; Medicine; Psychology; Economics; Criminology","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":[0.0009511893,0.0001735751,0.0006366684,0.0007301845,0.0001061319,0.00004592428,0.0001020997,0.00008249583,0.00002790283],"category_scores_gemma":[0.0005404286,0.0001009416,0.0001109356,0.001484262,0.00009545899,0.0001656334,0.00001734912,0.0001846449,0.000004281998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004513194,"about_ca_system_score_gemma":0.001226211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003054336,"about_ca_topic_score_gemma":0.003889577,"domain_scores_codex":[0.9984254,0.000239336,0.0004339587,0.0002544276,0.0002120375,0.0004348319],"domain_scores_gemma":[0.99875,0.0003547555,0.0001450799,0.000405513,0.0001124457,0.0002321487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006384265,0.0003813413,0.9650143,0.00001936491,0.001215386,0.000005914889,0.002206287,0.000009644188,0.00003280003,0.0006337514,0.0007284681,0.02911434],"study_design_scores_gemma":[0.004265702,0.001207311,0.9916275,0.00003778537,0.0000845869,0.000002903704,0.001172365,0.001154136,0.00001286376,0.00006610926,0.0003001806,0.00006852789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757209,0.0004134748,0.00002852782,0.02195121,0.00003442342,0.0004634303,0.00002243717,0.00004524584,0.001320296],"genre_scores_gemma":[0.9973644,0.000148388,0.0000355635,0.0009742936,0.00004249371,0.00002518544,0.00006752001,0.00001008035,0.001332073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02904581,"threshold_uncertainty_score":0.4617262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623239643343313,"score_gpt":0.3952102865458705,"score_spread":0.3589778901124374,"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."}}