{"id":"W3100615210","doi":"10.31718/2077-1096.20.3.143","title":"CHARACTERISTICS OF CORRELATION BETWEEN COGNITIVE AND PSYCHOEMOTIONAL IMPAIRMENTS IN PATIENTS IN ACUTE PERIOD OF CEREBRAL ISCHEMIC STROKE IN DIFFERENT CAROTID SYSTEMS","year":2020,"lang":"en","type":"article","venue":"Актуальні проблеми сучасної медицини Вісник Української медичної стоматологічної академії","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Stroke (engine); Anxiety; Neuropsychology; Cognition; Neurocognitive; Mini–Mental State Examination; Depression (economics); Mental status examination; Internal medicine; Physical therapy; Psychiatry; Cognitive impairment","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002039997,0.0007538727,0.001560721,0.0006248395,0.0000858204,0.00005813415,0.0004223341,0.0003955278,0.00006396533],"category_scores_gemma":[0.0005357177,0.0006940219,0.0002251001,0.001013874,0.000381235,0.0004575046,0.0003213502,0.0007747368,0.00002491541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202823,"about_ca_system_score_gemma":0.0001491465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002808604,"about_ca_topic_score_gemma":0.00004798938,"domain_scores_codex":[0.9945239,0.000515289,0.001761015,0.00133693,0.0009605212,0.0009022747],"domain_scores_gemma":[0.9978934,0.0004412206,0.0008312256,0.0003588358,0.0001305865,0.0003447132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008885802,0.001359014,0.9898817,0.0002306148,0.00005101129,0.0001089683,0.001358008,0.00005745488,0.005266657,0.0001266409,0.00005361383,0.0006177173],"study_design_scores_gemma":[0.009415152,0.001652284,0.9818861,0.0003543556,0.0001041756,0.00001262434,0.000251274,0.001906811,0.003697304,0.0001679693,0.00001440375,0.0005374752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949757,0.00007351409,0.00006553061,0.0002966273,0.0003273856,0.002007825,0.00152708,0.00005300393,0.0006733742],"genre_scores_gemma":[0.9990021,0.000166916,0.00004235973,0.0002155865,0.00006523439,0.0001137594,0.0002541488,0.00007301308,0.00006688799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008526572,"threshold_uncertainty_score":0.9995511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134873565716394,"score_gpt":0.2472996044028012,"score_spread":0.2259508687456373,"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."}}