{"id":"W3174845535","doi":"10.7895/ijadr.287","title":"The Russian translations of the Alcohol Use Disorders Identification Test (AUDIT): A document analysis and discussion of implementation challenges","year":2021,"lang":"en","type":"article","venue":"The International Journal of Alcohol and Drug Research","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Audit; Alcohol Use Disorders Identification Test; Identification (biology); Test (biology); Protocol (science); Adaptation (eye); Computer science; Psychology; Linguistics; Accounting; Medicine; Business; Environmental health; Poison control; Injury prevention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.08224031,0.0005600277,0.0007216182,0.004864707,0.001265375,0.002931576,0.001064446,0.0005536737,0.001169293],"category_scores_gemma":[0.1294224,0.0003303725,0.0008392259,0.006753054,0.001782566,0.002261009,0.0019008,0.001402422,0.000430488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003970442,"about_ca_system_score_gemma":0.01426514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141785,"about_ca_topic_score_gemma":0.01335064,"domain_scores_codex":[0.9284908,0.048263,0.01183585,0.002190695,0.008432319,0.0007874165],"domain_scores_gemma":[0.8886082,0.06890966,0.01045853,0.004986097,0.02657894,0.0004585857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000703964,0.0001845711,0.08692959,0.02120044,0.0004191721,0.001929267,0.1082255,0.00111666,0.006660314,0.01897213,0.0201638,0.7334946],"study_design_scores_gemma":[0.0003184018,0.001446432,0.3598458,0.06295607,0.001994439,0.006404387,0.1739422,0.005579532,0.01808999,0.01285132,0.3561309,0.0004405167],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686504,0.1021286,0.09715845,0.07798944,0.002320068,0.006862613,0.01295193,0.0005523491,0.03138603],"genre_scores_gemma":[0.7826041,0.03817478,0.1607664,0.003592279,0.0002351412,0.0050456,0.007240934,0.0001735975,0.002167186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08224031,"threshold_uncertainty_score":0.4349335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314749602722754,"score_gpt":0.4740467208404969,"score_spread":0.3425717605682216,"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."}}