{"id":"W4313625165","doi":"10.1097/md.0000000000032590","title":"Factor structure of the patient health questionnaire-9 and measurement invariance across gender and age among Chinese university students","year":2023,"lang":"en","type":"article","venue":"Medicine","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Fund for Distinguished Young Scholars; Jiangsu Provincial Key Research and Development Program; National Natural Science Foundation of China","keywords":"Measurement invariance; Cronbach's alpha; Patient Health Questionnaire; Medicine; Confirmatory factor analysis; Index (typography); Statistics; Goodness of fit; Clinical psychology; Psychometrics; Structural equation modeling; Depressive symptoms; Anxiety; Mathematics; Psychiatry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001839127,0.00009358044,0.0001753488,0.00003320294,0.0002126424,0.000004311463,0.0001031096,0.00003656285,0.00005542967],"category_scores_gemma":[0.00002001496,0.00005380578,0.00001092992,0.0002066479,0.0001572095,0.00003682162,0.00009889584,0.00008634494,0.000001307773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006995875,"about_ca_system_score_gemma":0.000009145551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502724,"about_ca_topic_score_gemma":0.0009613053,"domain_scores_codex":[0.999055,0.0001258268,0.000150306,0.0001772541,0.0003220107,0.0001696272],"domain_scores_gemma":[0.9995829,0.00001977121,0.0001188022,0.0001588516,0.00002775179,0.00009189676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004096863,0.00005040494,0.9752036,0.0001122303,0.00003649497,0.00001412156,0.01782866,4.466785e-7,0.00009596494,0.00006790165,0.0005476799,0.006001525],"study_design_scores_gemma":[0.001309402,0.000175027,0.99637,0.0001307122,0.000008101439,0.000002047624,0.001749759,0.000003216403,0.00001116552,0.0001044553,0.00009723008,0.00003893517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973624,0.0007346211,0.000006357997,0.0008524736,0.0004924359,0.0004336719,0.0000343226,0.00001919107,0.00006455015],"genre_scores_gemma":[0.9994934,0.00007128615,0.000003068211,0.0002307001,0.00003638924,0.000001712855,0.000007232881,0.000005416161,0.000150819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116635,"threshold_uncertainty_score":0.2271679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485770103442675,"score_gpt":0.381149062508479,"score_spread":0.3262913614740522,"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."}}