{"id":"W3042532299","doi":"10.18522/2311-3103-2019-8-54-66","title":"METHODS OF INFORMATION TECHNOLOGY IN THEPREVENTION OF COGNITIVE DYSFUNCTION IN PATIENTS WITH HYPERTENSION","year":2019,"lang":"en","type":"article","venue":"Izvestiâ ÛFU. Tehničeskie nauki","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Concomitant; Anxiety; Electroencephalography; Rhythm; Cognition; Depression (economics); Cognitive impairment; Medicine; Hospital Anxiety and Depression Scale; Internal medicine; Audiology; Cardiology; Psychology; Disease; 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":[0.0001601953,0.0001319288,0.0002815019,0.0004984846,0.00001814871,0.00000561216,0.0001087031,0.0001266537,0.00002713595],"category_scores_gemma":[0.0006959757,0.00009770161,0.00003420988,0.0009063859,0.0001092991,0.0003938825,0.0000573157,0.0001594142,0.00002154263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002486832,"about_ca_system_score_gemma":0.00002259698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004799439,"about_ca_topic_score_gemma":0.000007290304,"domain_scores_codex":[0.9988086,0.0001706711,0.0003832475,0.0002434539,0.0002171927,0.0001768139],"domain_scores_gemma":[0.9991637,0.0002886216,0.0002696511,0.0001693371,0.00008590677,0.00002279758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075214,0.001328909,0.9019259,0.00005826251,0.000008454167,0.000003993063,0.0001387085,0.0001786878,0.02535708,0.002258858,0.000004397163,0.06766152],"study_design_scores_gemma":[0.005559812,0.00186068,0.9330273,0.0001765911,0.00001674418,0.000001981482,0.00009046651,0.0003030781,0.05073897,0.008087222,0.00001516954,0.0001220195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971046,0.00001415077,0.0005924648,0.00006248916,0.000085248,0.0007586341,0.0000126332,0.00002562886,0.00134411],"genre_scores_gemma":[0.998996,0.00001245905,0.0008141341,0.0001070719,0.000001470012,0.00002737406,0.00001468748,0.000007584128,0.00001923314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06753951,"threshold_uncertainty_score":0.3984156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459809223143166,"score_gpt":0.2642536799369635,"score_spread":0.2496555877055318,"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."}}