{"id":"W3167363263","doi":"10.1016/j.jad.2021.05.031","title":"Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets","year":2021,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"Diabetes Management and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Horizon 2020 Framework Programme; Agence Nationale de la Recherche; Canadian Institutes of Health Research; European Commission; Diabetes Canada","keywords":"Confirmatory factor analysis; Diabetes mellitus; Measurement invariance; Structural equation modeling; Factor analysis; Behavioral Risk Factor Surveillance System; Medicine; Population; Risk factor; Depression (economics); Psychology; Clinical psychology; Statistics; Internal medicine; Environmental health; Mathematics; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.03622342,0.0006133921,0.0007964384,0.001308593,0.001153752,0.001201971,0.001361063,0.0005410771,0.001788904],"category_scores_gemma":[0.07449766,0.0004836951,0.002318751,0.002619555,0.001009744,0.0008110385,0.002318184,0.001644404,0.0004636412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357908,"about_ca_system_score_gemma":0.002938106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04710279,"about_ca_topic_score_gemma":0.05088653,"domain_scores_codex":[0.9758285,0.01375776,0.002479103,0.003351353,0.003517035,0.001066292],"domain_scores_gemma":[0.9624803,0.0173527,0.004528841,0.008388395,0.006538691,0.000710945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003793574,0.0001504584,0.9688457,0.0001951525,0.001789518,0.0001011468,0.00176131,0.001928464,0.0006642905,0.001174942,0.005367543,0.01764211],"study_design_scores_gemma":[0.00008587274,0.0001290058,0.9906654,0.0001281008,0.0003696097,0.0001227868,0.0007149631,0.003454539,0.0003840127,0.0008766589,0.003027968,0.00004101776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578151,0.0004486575,0.01763322,0.0008705254,0.000121471,0.0005837256,0.01977163,0.0001112529,0.002644457],"genre_scores_gemma":[0.9583561,0.0001564317,0.008845025,0.0003127222,0.0000317248,0.001204183,0.03073828,0.00005523524,0.0003003679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04710279,"threshold_uncertainty_score":0.1915701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437436589038267,"score_gpt":0.2642805475483058,"score_spread":0.2499061816579231,"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."}}