{"id":"W4412110711","doi":"10.1097/jcma.0000000000001265","title":"Normative study of the Taiwanese version of the Montreal Cognitive Assessment (MoCA) in community-dwelling individuals in Taiwan","year":2025,"lang":"en","type":"article","venue":"Journal of the Chinese Medical Association","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Normative; Medicine; Cutoff; Cognition; Gerontology; Regression analysis; Cognitive impairment; Demography; Clinical psychology; Statistics; Psychiatry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070587,0.0003985965,0.0002685297,0.001749066,0.0005980243,0.000491775,0.0005755778,0.0004095583,0.0009224162],"category_scores_gemma":[0.006840295,0.0001555012,0.0003520706,0.001153122,0.0003546179,0.0004160469,0.0004812754,0.0004432178,0.0002424357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007516164,"about_ca_system_score_gemma":0.0007613882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03071606,"about_ca_topic_score_gemma":0.03748972,"domain_scores_codex":[0.9993383,0.000144391,0.0001497121,0.0001824888,0.0001453549,0.00003964787],"domain_scores_gemma":[0.9969456,0.0004647012,0.0004641553,0.0003906295,0.001547429,0.000187372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001720649,0.0001379013,0.9827622,0.00006826552,0.0001519167,0.0003157406,0.0007471858,0.0002684408,0.0009549455,0.0002368062,0.001787963,0.01239655],"study_design_scores_gemma":[0.00001727427,0.00008557166,0.9972526,0.00001713484,0.0000438867,0.0004328514,0.0004843786,0.0005936429,0.0002185639,0.0001129082,0.0007303448,0.00001088447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937907,0.0003192528,0.001649763,0.00006013846,0.00002967265,0.0001965661,0.002226081,0.00005396965,0.001673979],"genre_scores_gemma":[0.9945478,0.0001029574,0.001331518,0.00003391399,0.00001073687,0.0002706141,0.003368931,0.00001160177,0.000321914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03071606,"threshold_uncertainty_score":0.06107455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008177432715320952,"score_gpt":0.337350079209826,"score_spread":0.3291726464945051,"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."}}