{"id":"W4390658372","doi":"10.1117/12.3021670","title":"Divergent impacts of diabetes severity on systolic and diastolic blood pressure: a comprehensive multivariate analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Blood pressure; Dyslipidemia; Diabetes mellitus; Confounding; Internal medicine; Body mass index; National Health and Nutrition Examination Survey; Medicine; Obesity; Diastole; Metabolic syndrome; Endocrinology; Cardiology; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004825715,0.0008026738,0.0008674358,0.001384623,0.0006223465,0.001083478,0.0006460186,0.0003892827,0.002045399],"category_scores_gemma":[0.006190504,0.0002910491,0.002818257,0.001839382,0.0004937944,0.000619872,0.001277841,0.001044291,0.0002393703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487772,"about_ca_system_score_gemma":0.001081626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041321,"about_ca_topic_score_gemma":0.01229004,"domain_scores_codex":[0.9966505,0.001723723,0.0002259133,0.0005728974,0.0003819664,0.0004449882],"domain_scores_gemma":[0.9953793,0.002248608,0.0005633761,0.000806301,0.0003287297,0.0006736521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002448838,0.0000525512,0.993322,0.00001564133,0.001436806,0.00007356812,0.0001202584,0.0003066075,0.0002510078,0.00007832712,0.000219045,0.00387924],"study_design_scores_gemma":[0.000007084455,0.0001926358,0.995605,0.0000128635,0.0007087375,0.0001095631,0.000292579,0.002521983,0.0001167012,0.0001263499,0.0002923997,0.00001411403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967145,0.0004934025,0.001462156,0.0001358012,0.00002085071,0.00001455844,0.0006310383,0.00003507733,0.0004927802],"genre_scores_gemma":[0.9985945,0.0001153219,0.0004347097,0.00001896716,0.00002077429,0.00001377257,0.0005507243,0.00001522386,0.0002359867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041321,"threshold_uncertainty_score":0.0255211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046154478703805,"score_gpt":0.256804019384146,"score_spread":0.246342474597108,"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."}}