{"id":"W4400006360","doi":"10.1093/arclin/acae051","title":"Mini-SEA: Validity and Normative Data for the French-Quebec Population Aged 50 Years and Above","year":2024,"lang":"en","type":"article","venue":"Archives of Clinical Neuropsychology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec Rehabilitation Research Network; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"Social Sciences and Humanities Research Council of Canada; Université Laval","keywords":"Normative; Psychology; Population; Cognition; Developmental psychology; Discriminant validity; Psychometrics; Clinical psychology; Gerontology; Demography; Medicine; Psychiatry","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":[0.002282196,0.0005126103,0.0002940704,0.002820466,0.001158929,0.0006657286,0.0009924831,0.0005077972,0.004377147],"category_scores_gemma":[0.00578472,0.000132598,0.0003980632,0.002331396,0.0004092907,0.0003441494,0.0005248517,0.0003427346,0.001054253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004608592,"about_ca_system_score_gemma":0.004051507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7731997,"about_ca_topic_score_gemma":0.8205281,"domain_scores_codex":[0.9986826,0.000183893,0.0001101629,0.0001529478,0.0007287675,0.0001417386],"domain_scores_gemma":[0.995977,0.0003352937,0.0003734591,0.0001392197,0.002921978,0.0002531758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003509962,0.0001389652,0.90695,0.0001841905,0.0001488373,0.0001798534,0.001128427,0.0005691216,0.001108222,0.0005256978,0.03370661,0.05500913],"study_design_scores_gemma":[0.00001309722,0.00003617943,0.9918002,0.00003763924,0.00001317094,0.0001150698,0.0002211105,0.000232091,0.0001245653,0.0000310193,0.007367836,0.000007973818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886194,0.00314045,0.005309828,0.0006584437,0.0001606938,0.001268366,0.07177211,0.0003838661,0.03111219],"genre_scores_gemma":[0.9164283,0.001094788,0.006747021,0.0002288039,0.00005199889,0.001386406,0.06551512,0.00009635607,0.008451244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2268003,"threshold_uncertainty_score":0.4562719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325273585918792,"score_gpt":0.4677938999828836,"score_spread":0.3352665413910044,"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."}}