{"id":"W1965364964","doi":"10.1016/j.jclinepi.2009.03.014","title":"Response shift was identified over multiple occasions with a structural equation modeling framework","year":2009,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Mental Health Research Topics","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Saskatchewan; University of Manitoba","funders":"University of Manitoba","keywords":"Structural equation modeling; Observational study; Identification (biology); Measure (data warehouse); Computer science; Key (lock); Confidence interval; Mental health; Data mining; Psychology; Statistics; Machine learning; Mathematics; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03267817,0.0002034391,0.00157781,0.0002221033,0.0001559817,0.00001482274,0.0004558391,0.0006660418,0.001108553],"category_scores_gemma":[0.09827693,0.0001386115,0.0004110306,0.00021555,0.0002052718,0.0001835102,0.00005230439,0.002572611,0.0001260775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009943027,"about_ca_system_score_gemma":0.000323583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006791836,"about_ca_topic_score_gemma":0.0000267867,"domain_scores_codex":[0.9820792,0.01201345,0.004348129,0.000414457,0.000415527,0.0007292203],"domain_scores_gemma":[0.9404626,0.0561571,0.001959861,0.0005315274,0.000243008,0.0006458575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09564246,0.0009849404,0.7752247,0.00004557751,0.000484796,0.0007749415,0.002774699,0.01157367,0.00007757652,0.05167994,0.0103653,0.05037142],"study_design_scores_gemma":[0.003436731,0.004762246,0.8069683,0.0002225316,0.00004784662,0.0002054463,0.0002403579,0.0602431,0.000002725544,0.1222005,0.00147175,0.0001984729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996741,0.0003991704,0.08005445,0.01762687,0.001754422,0.0002494437,0.000005886416,0.00001917282,0.0002164446],"genre_scores_gemma":[0.968377,0.00008142674,0.02314464,0.007105426,0.00103566,0.000004394552,0.000003990778,0.00001719519,0.0002302497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09220573,"threshold_uncertainty_score":0.9998046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5506461619325485,"score_gpt":0.6251469033359897,"score_spread":0.0745007414034412,"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."}}