{"id":"W3143781547","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":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Psychology; Cognition; Cognitive impairment; Gerontology; Clinical psychology; Psychiatry; Medicine","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":[0.003873217,0.0006997532,0.0007067665,0.00401571,0.001377952,0.001186559,0.0009430987,0.0006694021,0.000849988],"category_scores_gemma":[0.01128803,0.0002851414,0.000954623,0.002575423,0.0003597162,0.0009400666,0.001157115,0.0006341439,0.0002150538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003427401,"about_ca_system_score_gemma":0.005106953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2526186,"about_ca_topic_score_gemma":0.2683913,"domain_scores_codex":[0.9981918,0.0004443302,0.0003204718,0.000271638,0.000558247,0.0002135774],"domain_scores_gemma":[0.9979085,0.0002877839,0.0003029076,0.00009288418,0.001120641,0.0002874569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002230396,0.0001587097,0.9410452,0.0002254377,0.0001889706,0.0003830461,0.001814886,0.0005279542,0.0003503012,0.0001592151,0.00169325,0.05322996],"study_design_scores_gemma":[0.00004514657,0.0003109092,0.9938337,0.00009830252,0.0001385947,0.0002377938,0.001660346,0.00192868,0.0002480245,0.0002464131,0.001218642,0.00003365449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991174,0.00233483,0.0006792378,0.0004904283,0.00009177093,0.0004267723,0.001158948,0.00005605588,0.003587915],"genre_scores_gemma":[0.9977896,0.0004504562,0.0007380192,0.00006271937,0.00002251178,0.0002090032,0.0003548831,0.000002636621,0.0003701873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2526186,"threshold_uncertainty_score":0.5022963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421144181049562,"score_gpt":0.372359325150021,"score_spread":0.3081478833395254,"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."}}