{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009044177,0.0001593588,0.0004183422,0.0002666545,0.00006545763,0.000006285111,0.0001507482,0.0001408766,0.00005341401],"category_scores_gemma":[0.0006648077,0.0001402183,0.00009178477,0.0003264589,0.0001179002,0.0000908705,0.00006766323,0.0005675365,0.00001038979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134045,"about_ca_system_score_gemma":0.000164755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070763,"about_ca_topic_score_gemma":0.002681297,"domain_scores_codex":[0.9983992,0.0001859196,0.0004359471,0.0002316373,0.0003555115,0.0003917962],"domain_scores_gemma":[0.9985902,0.0005963785,0.0001230735,0.0003026326,0.0001630188,0.0002246771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001461157,0.003531775,0.6800913,0.0004397872,0.0001729416,0.00007550272,0.003215156,0.000002939426,0.0006098499,0.0005425244,0.0000760387,0.309781],"study_design_scores_gemma":[0.008454039,0.001549992,0.9795878,0.000593486,0.0000671902,0.000005822162,0.00159467,0.003692747,0.002777454,0.001467475,0.00007789076,0.0001314122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699444,0.0001684512,0.01973275,0.0001310776,0.00003007874,0.001714521,0.00005576849,0.0000293939,0.008193557],"genre_scores_gemma":[0.9920187,0.00003885017,0.00708987,0.00008129587,0.00004339322,0.0002819354,0.0002719706,0.00002336956,0.0001506416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096496,"threshold_uncertainty_score":0.9958801,"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."}}