{"id":"W4388462110","doi":"10.1111/ggi.14698","title":"Relationship between blood pressure and cognitive impairment in elderly outpatients with cardiometabolic diseases","year":2023,"lang":"en","type":"article","venue":"Geriatrics and gerontology international/Geriatrics & gerontology international","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tokyo Metropolitan Institute for Geriatrics and Gerontology; National Center for Geriatrics and Gerontology; Ministry of Health, Labour and Welfare","keywords":"Medicine; Montreal Cognitive Assessment; Blood pressure; Dementia; Internal medicine; Confounding; Confidence interval; Odds ratio; Dyslipidemia; Logistic regression; Cardiology; Stroke (engine); Mini–Mental State Examination; 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":[0.0005845699,0.0004190996,0.000709845,0.001791135,0.0001859055,0.000127879,0.0003057501,0.0003372798,0.0001985416],"category_scores_gemma":[0.0007204635,0.0003887687,0.0001282968,0.0007536403,0.0003319087,0.0003662672,0.0003286815,0.0005029427,0.00003884718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007784594,"about_ca_system_score_gemma":0.0002168379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000256662,"about_ca_topic_score_gemma":0.0001764952,"domain_scores_codex":[0.9964981,0.0002165354,0.0007559221,0.0009563701,0.0008665823,0.0007064752],"domain_scores_gemma":[0.9975625,0.0008887478,0.0003212989,0.0002364249,0.0006597317,0.0003312998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009322179,0.0003692703,0.9878376,0.0000757887,0.001465824,0.0003143635,0.0005626127,0.000005559709,0.00001673815,0.001406263,0.0004507542,0.006562992],"study_design_scores_gemma":[0.008631544,0.0009785566,0.983871,0.00004835858,0.001644201,0.0002821347,0.000552618,0.0002109843,0.00001832189,0.0008768637,0.002538616,0.0003468376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877456,0.002943799,0.0004442723,0.004370522,0.0008978365,0.0009790825,0.0004902295,0.000127594,0.002001066],"genre_scores_gemma":[0.9949428,0.0007862364,0.0004041905,0.0002063876,0.0004794732,0.0003046656,0.001145651,0.00004330031,0.001687264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007699326,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118705642032765,"score_gpt":0.3315645921507382,"score_spread":0.3003775357304105,"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."}}