{"id":"W4379797683","doi":"10.1097/01.hjh.0000940104.41182.4a","title":"MACHINE LEARNING CLASSIFICATION ON BLOOD PRESSURE VARIATION FOR THE RISK OF COGNITIVE IMPAIRMENT: A CROSS-SECTIONAL STUDY FROM A BLOOD PRESSURE MANAGEMENT COHORT IN HONG KONG","year":2023,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Blood pressure; Montreal Cognitive Assessment; Odds ratio; Cohort; Internal medicine; Logistic regression; Diastole; Population; Cardiology; Diabetes mellitus; Cohort study; Physical therapy; Cognitive impairment; Disease; Endocrinology","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":[0.0009902172,0.0003285673,0.0003516556,0.000449639,0.0007825721,0.0006946321,0.0003548842,0.0003184871,0.00128763],"category_scores_gemma":[0.001258515,0.0003933936,0.0006300099,0.0007697997,0.0003334361,0.0003645697,0.00040289,0.0004873951,0.000290657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751437,"about_ca_system_score_gemma":0.000803312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06034916,"about_ca_topic_score_gemma":0.03944785,"domain_scores_codex":[0.9996142,0.00007833948,0.00004732102,0.0001184763,0.00006523411,0.00007638228],"domain_scores_gemma":[0.9987196,0.0001696069,0.0003924258,0.0001979136,0.0002674655,0.0002530523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007414413,0.00004537391,0.9989153,0.000005253779,0.00006451277,0.00007879831,0.0001437135,0.00002537405,0.0001402286,0.000005929039,0.0000778583,0.0004235009],"study_design_scores_gemma":[0.000004910509,0.00005523749,0.9994162,0.000003122923,0.00001943297,0.00006659477,0.0002018903,0.0001510545,0.00002150533,0.000004922822,0.0000525768,0.000002499478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999567,0.00003660734,0.00005714892,0.00001605801,0.00000312312,0.000009242784,0.0002173961,0.000001143927,0.00009237537],"genre_scores_gemma":[0.9993995,0.0000436981,0.00007269363,0.00002161851,0.000004499306,0.00001322842,0.0002535254,0.000001333631,0.0001898718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06034916,"threshold_uncertainty_score":0.1199958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420940577666354,"score_gpt":0.2949793758758479,"score_spread":0.2507699700991844,"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."}}