{"id":"W4367692790","doi":"10.1136/bmjopen-2022-068619","title":"Calibrating the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) for detecting alcohol-related problems among Canadian, UK and US soldiers: cross-sectional pre-deployment and post-deployment survey results","year":2023,"lang":"en","type":"article","venue":"BMJ Open","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"U.S. Army Medical Research and Development Command","keywords":"Medicine; Alcohol Use Disorders Identification Test; Software deployment; Cross-sectional study; Audit; Environmental health; Alcohol consumption; Biostatistics; Test (biology); Public health; Epidemiology; Psychiatry; Family medicine; Alcohol; Poison control; Injury prevention; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005798489,0.0002753154,0.0002661713,0.0002830009,0.001039688,0.001385967,0.0005428651,0.0002142506,0.00008963421],"category_scores_gemma":[0.003877562,0.0002417177,0.00006031662,0.0004539168,0.0002631752,0.0005904943,0.000391247,0.0003098062,0.00005796666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625664,"about_ca_system_score_gemma":0.0002061789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3148408,"about_ca_topic_score_gemma":0.503836,"domain_scores_codex":[0.9962891,0.0006164752,0.0009726678,0.00090627,0.0004345312,0.0007809888],"domain_scores_gemma":[0.9956391,0.002753522,0.000442339,0.0006904789,0.0002128724,0.0002616209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002819505,0.00006018682,0.9909345,0.00008017844,0.0002150235,0.000003416001,0.002642876,0.0004723321,0.0004815159,0.00009442421,0.0007444097,0.003989175],"study_design_scores_gemma":[0.002874935,0.0001600407,0.9882264,0.0001023346,0.00002726326,0.00001774682,0.0004361815,0.007323923,0.00009133711,0.0003492372,0.00009259363,0.0002980034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828277,0.00009284723,0.00004269593,0.000837079,0.0003881371,0.01446882,0.0009859888,0.0001228348,0.0002339374],"genre_scores_gemma":[0.9902613,0.00003736524,0.00006702494,0.00008171125,0.00003463839,0.006554269,0.0005691855,0.00008552697,0.002309027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889953,"threshold_uncertainty_score":0.9996507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2262729620422982,"score_gpt":0.4524754317226762,"score_spread":0.226202469680378,"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."}}