{"id":"W2948141995","doi":"10.34287/mmt.1(40).2019.6","title":"Relationship between indicators of carotid artery rigidity and cognitive functions in arterial hypertension patients","year":2019,"lang":"en","type":"article","venue":"Modern medical technology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Montreal Cognitive Assessment; Internal medicine; Cognition; Cardiology; Arterial stiffness; Common carotid artery; Carotid arteries; Intima-media thickness; Pulse wave velocity; Blood pressure; Cognitive impairment; Artery; Internal carotid artery; Arterial wall; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004019364,0.0003099739,0.0003956376,0.0007816309,0.0003333697,0.000417172,0.0002285657,0.0003870018,0.001396315],"category_scores_gemma":[0.001942317,0.0001810486,0.0002836028,0.0005931248,0.0002142484,0.0002457371,0.0002769869,0.0005050258,0.0002430233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416475,"about_ca_system_score_gemma":0.0002347008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162154,"about_ca_topic_score_gemma":0.001951093,"domain_scores_codex":[0.9997407,0.0000625092,0.00003834643,0.00004526504,0.00007075888,0.00004233615],"domain_scores_gemma":[0.9988745,0.0002114294,0.0004418911,0.0000491145,0.0001494354,0.0002736204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002340388,0.00004689587,0.9983799,0.000008343609,0.0000420921,0.00008281502,0.00003282895,0.00001996101,0.0001666708,0.00000657045,0.00002905102,0.0009507732],"study_design_scores_gemma":[0.000004381652,0.0001507555,0.999416,0.000001814569,0.00001603102,0.0002235356,0.00003787405,0.00006534051,0.00003197058,0.00001101206,0.00003904605,0.000002227674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991085,0.0002496231,0.00006025242,0.00002727534,0.00000825786,0.00000581726,0.0001092482,0.000002772076,0.0004282778],"genre_scores_gemma":[0.9995397,0.00006966846,0.00005068401,0.00001715893,0.00001760823,0.000004923609,0.0001636108,8.692908e-7,0.0001358442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00162154,"threshold_uncertainty_score":0.004671156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695768749177612,"score_gpt":0.268066364244861,"score_spread":0.2511086767530849,"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."}}