{"id":"W4387440684","doi":"10.1093/alcalc/agad063","title":"Unrecorded alcohol consumption in Lithuania: a modelling study for 2000–2021","year":2023,"lang":"en","type":"article","venue":"Alcohol and Alcoholism","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Per capita; Alcohol consumption; Consumption (sociology); Alcohol; Harm; Public health; Environmental health; Demography; Medicine; Political science; Population; Biology; Law; Sociology","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":[0.00300052,0.0008767922,0.001147128,0.00150279,0.0005607562,0.001567576,0.001864046,0.001612517,0.004995958],"category_scores_gemma":[0.0025966,0.0008602902,0.003977741,0.001646184,0.000415084,0.0007459863,0.001566386,0.001315517,0.001260148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712592,"about_ca_system_score_gemma":0.002457095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1268888,"about_ca_topic_score_gemma":0.06244374,"domain_scores_codex":[0.9992243,0.0003079621,0.0000502041,0.0001234341,0.00004065063,0.0002535414],"domain_scores_gemma":[0.9986682,0.0005257318,0.0003142876,0.0001438016,0.0001940843,0.0001539562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002720149,0.0007880738,0.817522,0.0004986801,0.003053695,0.00166693,0.0008847932,0.1537386,0.0005104705,0.003244351,0.00445648,0.01091575],"study_design_scores_gemma":[0.0008747329,0.001701024,0.5767881,0.0006301772,0.002593734,0.0008932934,0.002939309,0.4009337,0.0009105681,0.00220391,0.009351365,0.0001801568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988035,0.0007595785,0.001823206,0.0005453599,0.00003616569,0.00009535316,0.007045051,0.00008961018,0.001570642],"genre_scores_gemma":[0.9894568,0.0004302597,0.0009931597,0.00008940104,0.00002212092,0.0002012636,0.006105809,0.00002358918,0.002677555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1268888,"threshold_uncertainty_score":0.2523004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969985897421425,"score_gpt":0.4106344773900523,"score_spread":0.2136358876479098,"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."}}