{"id":"W3049645493","doi":"10.3389/fnagi.2020.00236","title":"Evaluation of the Mini-Mental State Examination and the Montreal Cognitive Assessment for Predicting Post-stroke Cognitive Impairment During the Acute Phase in Chinese Minor Stroke Patients","year":2020,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Montreal Cognitive Assessment; Receiver operating characteristic; Area under the curve; Stroke (engine); Internal medicine; Logistic regression; Confidence interval; Medicine; Mini–Mental State Examination; Neuropsychology; Cognitive impairment; Cognition; Physical therapy; Psychiatry","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":[0.002159287,0.0001661038,0.0002284691,0.0001399888,0.0002638628,0.00006070297,0.0001855889,0.00002280509,0.000003239514],"category_scores_gemma":[0.001327679,0.00009216098,0.00007789744,0.0003964061,0.0005041459,0.0002351136,0.0001884195,0.0002628641,1.22439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531398,"about_ca_system_score_gemma":0.0001818279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005142828,"about_ca_topic_score_gemma":0.00002799627,"domain_scores_codex":[0.9969336,0.0006599634,0.0003581082,0.0004153676,0.001295043,0.0003379441],"domain_scores_gemma":[0.9989142,0.0002745676,0.0002175082,0.0001066741,0.0004094398,0.00007764652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001254367,0.0004503252,0.9537238,0.0000533299,0.00004323553,0.000004978783,0.006856248,0.00001732041,0.004379605,3.804044e-7,0.00001130843,0.03320511],"study_design_scores_gemma":[0.02217666,0.0007984932,0.8570402,0.0001442327,0.0002097415,0.000003293842,0.004436466,0.1118691,0.003235705,0.00001455194,0.000001086956,0.00007044397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928227,0.00006914492,0.0006369188,0.0008997041,0.0003008808,0.004687876,0.0004204409,0.000008902834,0.0001534363],"genre_scores_gemma":[0.9988477,0.00005027175,0.00006436162,0.0004808645,0.00002516703,0.0003812222,0.00002311577,0.00001163373,0.0001157201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118518,"threshold_uncertainty_score":0.3758216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509434176359697,"score_gpt":0.3289368548454194,"score_spread":0.3138425130818224,"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."}}