{"id":"W4390345599","doi":"10.36622/vstu.2023.22.4.024","title":"MINI-COG AND MONTREAL COGNITIVE IMPAIRMENT SCALE (MOCA-TEST) IN THE EARLY DIAGNOSIS OF MENTAL IMPAIRMENT IN ELDERLY AND SENILE PATIENTS WITH CHRONIC NON-INFECTIOUS DISEASES (CNID) AT THE OUTPATIENT STAGE","year":2023,"lang":"ru","type":"article","venue":"СИСТЕМНЫЙ АНАЛИЗ И УПРАВЛЕНИЕ В БИОМЕДИЦИНСКИХ СИСТЕМАХ","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Dementia; Medicine; Cognition; Gerontology; Polyclinic; Psychiatry; Cognitive impairment; Physical therapy; Internal medicine; Disease","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":[0.002857635,0.001157918,0.001817264,0.0008115194,0.0008189665,0.0001993841,0.0004509342,0.0005288401,0.0001988156],"category_scores_gemma":[0.0004152453,0.0007372476,0.0002614633,0.001854582,0.0009990202,0.0004156011,0.0005719799,0.001225336,0.00007598688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664704,"about_ca_system_score_gemma":0.001739487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06507239,"about_ca_topic_score_gemma":0.1070941,"domain_scores_codex":[0.9905068,0.001617694,0.002110861,0.001585058,0.001906673,0.002272894],"domain_scores_gemma":[0.9935737,0.002902145,0.0009949683,0.00113129,0.0003790001,0.001018893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101864,0.003068064,0.9262328,0.002282775,0.000234133,0.0002226964,0.03745029,0.00001488933,0.000006502656,0.00000966795,0.00225532,0.02720425],"study_design_scores_gemma":[0.01714701,0.01890469,0.946316,0.002694964,0.0003543019,0.00004623817,0.01215002,0.0006279208,0.00003787986,0.00002700348,0.0009944777,0.0006995165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760858,0.004045885,0.000003323859,0.004654358,0.0006249853,0.01110638,0.002930433,0.0001003543,0.0004484383],"genre_scores_gemma":[0.992458,0.003017017,0.000005968554,0.0006856442,0.0003498238,0.002082765,0.000506169,0.000151538,0.0007430582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04202169,"threshold_uncertainty_score":0.9995078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007633679618278329,"score_gpt":0.2657320099552859,"score_spread":0.2580983303370076,"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."}}