{"id":"W1983114078","doi":"10.1017/s1355617709090602","title":"Partial measurement equivalence of French and English versions of the Canadian Study of Health and Aging neuropsychological battery","year":2009,"lang":"en","type":"article","venue":"Journal of the International Neuropsychological Society","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Saskatchewan; Université de Montréal; University of Victoria","funders":"Canadian Institutes of Health Research; Health Canada; University of Cambridge; American Educational Research Association","keywords":"Equivalence (formal languages); Psychology; Neuropsychology; Measurement invariance; Generality; Cognition; Sample (material); Cognitive psychology; Construct (python library); Psychopathology; Developmental psychology; Clinical psychology; Linguistics; Structural equation modeling; Statistics; Psychiatry; Computer science; Confirmatory factor analysis; Mathematics","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":[0.01925229,0.0005327686,0.0005720374,0.002154063,0.002545103,0.001776237,0.001065793,0.0003370537,0.002321874],"category_scores_gemma":[0.04395002,0.0003042717,0.00115419,0.00230928,0.001759038,0.0007615863,0.001748937,0.0006675864,0.0002338926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007256417,"about_ca_system_score_gemma":0.01074028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7292559,"about_ca_topic_score_gemma":0.7987147,"domain_scores_codex":[0.9851615,0.00537973,0.00146177,0.002017088,0.004366785,0.001613082],"domain_scores_gemma":[0.9848143,0.004957059,0.001264769,0.002673968,0.005746228,0.00054365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004580069,0.00009980029,0.9247289,0.0001222849,0.0006659279,0.0001167719,0.008061502,0.001101691,0.001579693,0.00647591,0.002786165,0.05380345],"study_design_scores_gemma":[0.00002256842,0.00007127364,0.9937687,0.00003253378,0.00005777874,0.00006466488,0.0009196827,0.0007177304,0.0004264235,0.0007099485,0.003182746,0.00002595329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702229,0.0006919663,0.009025421,0.0008075153,0.0001178522,0.0003842101,0.005120776,0.00006303565,0.01356616],"genre_scores_gemma":[0.990825,0.0001566546,0.003843014,0.0001809324,0.0000184771,0.0003079452,0.003422534,0.00004447784,0.001201058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707441,"threshold_uncertainty_score":0.5446772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930449933022151,"score_gpt":0.3742122488182474,"score_spread":0.1811672555160323,"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."}}