{"id":"W2800144839","doi":"10.1371/journal.pone.0196562","title":"The psychometric properties of the 10-item Kessler Psychological Distress Scale (K10) in Canadian military personnel","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; University of Ottawa","funders":"Ministère de la Défense Nationale; Canada Research Chairs; University of Ottawa","keywords":"Confirmatory factor analysis; Cronbach's alpha; Clinical psychology; Panic disorder; Psychology; Anxiety; Construct validity; Distress; Structural equation modeling; Psychometrics; Anxiety disorder; Receiver operating characteristic; Confidence interval; Psychiatry; Measurement invariance; Medicine; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003871641,0.0004905868,0.0004039207,0.002258404,0.002028447,0.001031855,0.0009204742,0.000347692,0.002384136],"category_scores_gemma":[0.01483117,0.0002960864,0.0008775175,0.003117006,0.001228147,0.0004339632,0.001314933,0.0006159851,0.0002427769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141594,"about_ca_system_score_gemma":0.01583814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9061344,"about_ca_topic_score_gemma":0.9314356,"domain_scores_codex":[0.997835,0.0002529427,0.0001884669,0.0001678483,0.001264904,0.0002909235],"domain_scores_gemma":[0.9958758,0.0005787009,0.0006833446,0.0001392463,0.002227473,0.0004954862],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409494,0.00009162854,0.9454897,0.0002050385,0.0001535029,0.00007594201,0.003347742,0.0004560263,0.0005117184,0.0003792834,0.002010121,0.04713833],"study_design_scores_gemma":[0.000009119598,0.00004622361,0.9971047,0.00006560371,0.00002781537,0.0000332425,0.001190989,0.0003037158,0.00007574756,0.00006892837,0.001056019,0.00001792512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928346,0.0007591443,0.0004243586,0.0003606616,0.0000243677,0.0001277076,0.00117388,0.00001784298,0.004277421],"genre_scores_gemma":[0.9947619,0.0009529442,0.001572044,0.00009682427,0.00001217755,0.000115068,0.001595493,0.000008002131,0.0008855821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9961284,"threshold_uncertainty_score":0.1888368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1662651010923819,"score_gpt":0.333992125821823,"score_spread":0.1677270247294411,"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."}}