{"id":"W4400016680","doi":"10.1111/add.16567","title":"Classifying national drinking patterns in Europe between 2000 and 2019: A clustering approach using comparable exposure data","year":2024,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; World Health Organization; Pan American Health Organization; EU4Health","keywords":"Cluster analysis; Environmental health; Psychology; Medicine; Statistics; Medical emergency; Computer science; Artificial intelligence; Mathematics","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":[0.004371623,0.0003752802,0.0005970604,0.00819636,0.0004175165,0.001323643,0.0006621096,0.0004687045,0.001415915],"category_scores_gemma":[0.0105882,0.0002363173,0.001730986,0.007883369,0.0002835571,0.0005283565,0.001764959,0.0004063098,0.000293438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326771,"about_ca_system_score_gemma":0.001194254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04579408,"about_ca_topic_score_gemma":0.02253312,"domain_scores_codex":[0.996482,0.001409945,0.0006037605,0.0008843558,0.0003474085,0.0002724086],"domain_scores_gemma":[0.9959819,0.0009039096,0.001292222,0.0006680064,0.0009994723,0.000154461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003453012,0.00008264325,0.9583972,0.0003343855,0.001310736,0.0001886804,0.0006990359,0.008121431,0.0003489366,0.001032222,0.003614359,0.02552515],"study_design_scores_gemma":[0.00002699247,0.00007533307,0.9846863,0.0002161583,0.0002873554,0.0001134791,0.001143888,0.008674663,0.0002935015,0.0009253168,0.003523096,0.00003404081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467568,0.0007342399,0.01702989,0.0002598294,0.00003589961,0.0004862271,0.03254236,0.0001547166,0.00200007],"genre_scores_gemma":[0.9469479,0.0002746541,0.01504776,0.00007049988,0.00001808888,0.0005421629,0.03664869,0.00003710303,0.0004131526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04579408,"threshold_uncertainty_score":0.09105504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234153353345455,"score_gpt":0.3339054848721555,"score_spread":0.21049014953761,"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."}}