{"id":"W2943443904","doi":"10.1089/met.2018.0122","title":"The Association Between Six Surrogate Insulin Resistance Indexes and Hypertension: A Population-Based Study","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Medicine; Insulin resistance; Internal medicine; Body mass index; Waist; Hypertriglyceridemia; Population; Diabetes mellitus; Endocrinology; Triglyceride; Insulin; Cholesterol; Environmental health","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":[0.002638844,0.0004404471,0.0006081499,0.000976964,0.0005073947,0.0008347995,0.0004828042,0.0007313016,0.0009671463],"category_scores_gemma":[0.003507096,0.0005375796,0.0008720002,0.001428587,0.0004695703,0.0006298747,0.0006176629,0.0009573833,0.0002616604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580163,"about_ca_system_score_gemma":0.00041781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472405,"about_ca_topic_score_gemma":0.00150084,"domain_scores_codex":[0.9983297,0.000719018,0.0001867795,0.0003636692,0.0002754973,0.0001253673],"domain_scores_gemma":[0.9975599,0.0005656834,0.0007498091,0.0004577094,0.0003091211,0.0003578409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001672322,0.00007092039,0.9988521,0.000008232924,0.0001297944,0.00005295203,0.00005687868,0.0000242174,0.0001276005,0.00001160113,0.00002128616,0.0004770466],"study_design_scores_gemma":[0.00002060551,0.0002945665,0.9988908,0.000003845695,0.00008969672,0.000273835,0.000100425,0.0001958346,0.00003258924,0.00001663112,0.00007665972,0.000004574665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991105,0.0001511319,0.0002793493,0.00001600428,0.00000629476,0.0000181598,0.000154806,0.000003254092,0.0002604989],"genre_scores_gemma":[0.9993739,0.00008312688,0.0002239741,0.00001935158,0.00001452787,0.00001840272,0.0002115037,0.000001903606,0.00005338783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002638844,"threshold_uncertainty_score":0.01395571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005232071623120784,"score_gpt":0.2072331284479703,"score_spread":0.2020010568248495,"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."}}