{"id":"W4360976117","doi":"10.1101/2023.03.24.23287728","title":"THE FACTOR STRUCTURE OF THE PATIENT HEALTH QUESTIONNAIRE-9 IN STROKE: A COMPARISON WITH A NON-STROKE POPULATION","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University","funders":"McGill University","keywords":"Stroke (engine); Confirmatory factor analysis; Measurement invariance; Psychology; Population; Structural equation modeling; Depression (economics); Clinical psychology; Medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.003493428,0.0003775062,0.000497942,0.001561832,0.0002635598,0.0006429967,0.00029759,0.0004485086,0.001261501],"category_scores_gemma":[0.007514115,0.0001561913,0.000948258,0.001013922,0.0004656043,0.0006196337,0.0006298928,0.0003979494,0.000183566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235535,"about_ca_system_score_gemma":0.0003498671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326858,"about_ca_topic_score_gemma":0.001908445,"domain_scores_codex":[0.9985764,0.0005674903,0.0001654666,0.0003113379,0.0002507663,0.0001284278],"domain_scores_gemma":[0.9981077,0.0007648983,0.0005874556,0.0001666916,0.0002070742,0.0001662156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002141715,0.00009387109,0.9944357,0.00001830009,0.0002044173,0.00004137244,0.0003637098,0.0001465862,0.0003419949,0.00007580229,0.000117007,0.003947026],"study_design_scores_gemma":[0.00001712295,0.0002624325,0.9983442,0.000007454861,0.00003306449,0.00007058326,0.0002827062,0.0007118022,0.00005340994,0.0001114139,0.0001010382,0.000004871545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994195,0.00007162281,0.00021525,0.00003445222,0.000004842202,0.00001289971,0.0001195717,0.000002650119,0.0001192285],"genre_scores_gemma":[0.9996425,0.00002654329,0.0001121879,0.00000769757,0.000002897577,0.00001073622,0.0001664801,0.00000127537,0.00002983872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003493428,"threshold_uncertainty_score":0.01847523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965782989915725,"score_gpt":0.3036373151285882,"score_spread":0.283979485229431,"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."}}