{"id":"W3153474577","doi":"10.1101/2021.04.07.21255080","title":"The impact of increasing the minimum legal drinking age to 20 years in Lithuania on all-cause mortality – an interrupted time-series analysis","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Confounding; Demography; Medicine; Injury prevention; Mortality rate; Poison control; Human factors and ergonomics; Occupational safety and health; Age groups; Young adult; Gerontology; Environmental health; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005192195,0.0003453335,0.0008814907,0.0009789282,0.0002408306,0.001020808,0.0009588731,0.0007076332,0.002458346],"category_scores_gemma":[0.01100632,0.0002129732,0.002081311,0.001183178,0.0003713722,0.0004895868,0.0008646626,0.001153682,0.000258285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124324,"about_ca_system_score_gemma":0.001175469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03554038,"about_ca_topic_score_gemma":0.01375954,"domain_scores_codex":[0.9976094,0.001148088,0.0002629905,0.0004005852,0.0002491751,0.0003298583],"domain_scores_gemma":[0.9914783,0.003904047,0.002910873,0.0006277044,0.0006849796,0.0003941947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009355701,0.0001671961,0.9683318,0.0004215666,0.001998059,0.0004777987,0.0003672673,0.0146086,0.0003235319,0.000941243,0.001749008,0.009678175],"study_design_scores_gemma":[0.00008447831,0.0005374368,0.9592662,0.0002061436,0.0009997744,0.000111862,0.0005346737,0.03444289,0.0004580222,0.0006203385,0.002698174,0.00004004368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882633,0.002084007,0.001812046,0.0008701901,0.00008167417,0.00004061192,0.006043146,0.00004456805,0.00076041],"genre_scores_gemma":[0.9955757,0.0003533919,0.0003635017,0.0001038916,0.00003483661,0.00004064761,0.00304777,0.000006497814,0.0004737402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03554038,"threshold_uncertainty_score":0.07066703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133909105755838,"score_gpt":0.4303927104136407,"score_spread":0.3170017998380569,"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."}}