{"id":"W2982058184","doi":"10.1002/gps.5227","title":"Diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) for cognitive screening in old age psychiatry: Determining cutoff scores in clinical practice. Avoiding spectrum bias caused by healthy controls","year":2019,"lang":"en","type":"article","venue":"International Journal of Geriatric Psychiatry","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Dementia; Cognition; Receiver operating characteristic; Cohort; Medicine; Area under the curve; Cut-off; Cohort study; Cross-sectional study; Psychology; Cognitive impairment; Cutoff; Gerontology; Audiology; Psychiatry; Internal medicine; Pathology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003684201,0.0002730449,0.0007791233,0.0007204652,0.00007496132,0.00009112183,0.000433404,0.0001517225,0.00007797955],"category_scores_gemma":[0.008123385,0.0002139285,0.0004802177,0.0004792972,0.0001075505,0.0004870427,0.0001245392,0.001235589,0.000005011015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687598,"about_ca_system_score_gemma":0.00166306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390128,"about_ca_topic_score_gemma":0.0002872821,"domain_scores_codex":[0.9949425,0.0007777312,0.002073254,0.0003999007,0.001323421,0.0004831289],"domain_scores_gemma":[0.9877051,0.008887292,0.002160137,0.0001585055,0.0008958306,0.0001931475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00672391,0.002045506,0.9791626,0.00009767814,0.0007415657,0.0001142777,0.0002118817,0.00001216125,0.000109146,0.0001512514,0.0006331863,0.009996833],"study_design_scores_gemma":[0.02798678,0.002840517,0.9606737,0.002736622,0.0003696457,0.0001639203,0.00361988,0.000497166,0.00007562222,0.0007596806,0.00008796873,0.00018843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980231,0.001026762,0.002762307,0.009475554,0.003712484,0.001923253,0.0001198092,0.000008274901,0.0007405277],"genre_scores_gemma":[0.994328,0.0005642662,0.00179174,0.002161524,0.0009541374,0.0000573491,0.00003809639,0.00003734633,0.00006760621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02126287,"threshold_uncertainty_score":0.9725037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294904378605822,"score_gpt":0.4139610941415821,"score_spread":0.3810120503555239,"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."}}