{"id":"W6888965473","doi":"10.25384/sage.11770869","title":"CJP_AUD_Supplementary_Table - Clinical Epidemiology of Alcohol Use Disorders in Military Personnel versus the General Population in Canada: Épidémiologie clinique des troubles liés à la consommation d’alcool chez les militaires par opposition à la population générale du Canada","year":2020,"lang":"fr","type":"article","venue":"Sage Journals Data","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Opposition (politics); Epidemiology; Population; Military personnel; Military psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723803,0.0006696146,0.001232195,0.004895951,0.001553391,0.001604205,0.001845249,0.0008640782,0.2869738],"category_scores_gemma":[0.009977709,0.000488204,0.001054574,0.01092994,0.0003278755,0.0008173349,0.0009268509,0.0008485007,0.03085176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005420312,"about_ca_system_score_gemma":0.01467787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8635932,"about_ca_topic_score_gemma":0.8983759,"domain_scores_codex":[0.9991806,0.00004522881,0.0001203108,0.00008676916,0.0003842345,0.0001827672],"domain_scores_gemma":[0.9832344,0.001984607,0.001411619,0.0004722369,0.01136496,0.001532218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001743193,0.00003992668,0.02024136,0.0009682412,0.00008553305,0.00006409061,0.0000301007,0.0001196223,0.000114455,0.0002370823,0.9654518,0.01247338],"study_design_scores_gemma":[0.0006021705,0.00007419269,0.6895047,0.001746421,0.0002183593,0.0003808019,0.0003741155,0.0006566307,0.0004740512,0.0007883252,0.3050772,0.0001029548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001700513,0.0004379061,0.00008932666,0.000709952,0.0002971224,0.0001487608,0.9880163,0.0001738692,0.008426361],"genre_scores_gemma":[0.03158749,0.001731582,0.001147767,0.001130708,0.000583846,0.000340193,0.9208918,0.0002410939,0.0423456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2869738,"threshold_uncertainty_score":0.9600231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189759225398766,"score_gpt":0.396882632994685,"score_spread":0.207123407595919,"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."}}