{"id":"W2356802439","doi":"","title":"Application of Montreal Cognitive Assessment for Screening MCI in Community Elderly in Chengdu","year":2011,"lang":"en","type":"article","venue":"Zhongguo linchuang xinlixue zazhi","topic":"Medical Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cronbach's alpha; Cutoff; Psychology; Youden's J statistic; Gerontology; Cognitive impairment; Elderly people; Index (typography); Cognition; Medicine; Receiver operating characteristic; Clinical psychology; Internal medicine; Psychiatry; Psychometrics","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":[0.002536647,0.0004675381,0.000435341,0.001766735,0.0005782981,0.0004588976,0.0004482784,0.0003337894,0.0006466213],"category_scores_gemma":[0.006821235,0.0001323612,0.0003881788,0.0009814014,0.000203979,0.0003442721,0.0005904985,0.0002608807,0.0001074815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009730403,"about_ca_system_score_gemma":0.001425863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05313608,"about_ca_topic_score_gemma":0.06644227,"domain_scores_codex":[0.9989421,0.0003501912,0.0001446295,0.0001333212,0.0003203313,0.0001093559],"domain_scores_gemma":[0.9990827,0.0001620533,0.0002047487,0.00005401202,0.0003582024,0.0001382026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004412588,0.0001387261,0.947437,0.0001476967,0.0001292271,0.0004348842,0.0007213805,0.0003664168,0.0007674377,0.00009031904,0.0005668091,0.04875882],"study_design_scores_gemma":[0.00003553213,0.0004369393,0.9970995,0.00003520431,0.00006327151,0.0001925557,0.0003691008,0.0009902248,0.0002276679,0.00008288955,0.0004558841,0.00001128894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967624,0.001175649,0.0003647034,0.0001249747,0.00001997519,0.0001232225,0.0002459488,0.00001494534,0.001168128],"genre_scores_gemma":[0.99871,0.0002380691,0.0006928164,0.00002244068,0.000009107515,0.00006436212,0.000118642,9.695819e-7,0.0001435562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05313608,"threshold_uncertainty_score":0.1056536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07635836784141535,"score_gpt":0.3849161696739474,"score_spread":0.3085578018325321,"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."}}