{"id":"W4200320334","doi":"10.30978/unj2021-3-31","title":"Post-stroke cognitive impairment: screening with MMSE and MoCA and predictors of their persistence after treatment at the Stroke Center","year":2021,"lang":"en","type":"article","venue":"Ukrainian Neurological Journal","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Logistic regression; Conventional PCI; Internal medicine; Stroke (engine); Cognitive impairment; Physical therapy; Mini–Mental State Examination; Cardiology; Disease; Myocardial infarction","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":[0.001227516,0.0003745474,0.0005191052,0.0009020301,0.0004799878,0.0007890062,0.0005234173,0.000709115,0.001131846],"category_scores_gemma":[0.006355251,0.0002423904,0.0005880817,0.001178211,0.0002775961,0.0008123798,0.0004853263,0.001034322,0.0002743623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357462,"about_ca_system_score_gemma":0.0004850726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005917567,"about_ca_topic_score_gemma":0.007357264,"domain_scores_codex":[0.9990931,0.0002153158,0.0001593975,0.0001300722,0.0002090069,0.0001931797],"domain_scores_gemma":[0.9963796,0.0005246837,0.001777479,0.000134367,0.0005147927,0.0006691599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008377347,0.00003185813,0.9994268,0.000002083622,0.00002320473,0.00002186083,0.00001222112,0.00001181727,0.00001577655,0.000001781159,0.00003977617,0.0003289999],"study_design_scores_gemma":[0.000005133291,0.0000881691,0.9995226,0.000003420203,0.00001407638,0.00009614779,0.00005890285,0.0001567182,0.0000170074,0.000005916366,0.00002999308,0.000001956505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993081,0.0001759451,0.00004011589,0.00006522657,0.000007715895,0.000006796868,0.0001998521,0.000002683548,0.0001935314],"genre_scores_gemma":[0.9994628,0.00005279682,0.00003266364,0.00002189026,0.00002108187,0.00000661049,0.0003171993,0.000001119231,0.00008382642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005917567,"threshold_uncertainty_score":0.01176625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474218783517498,"score_gpt":0.2285134218426189,"score_spread":0.2037712340074439,"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."}}