{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009316467,0.0002005011,0.000648302,0.000125868,0.0002849775,0.00005848044,0.0000693738,0.0001915899,0.00001787647],"category_scores_gemma":[0.0002476037,0.0001368113,0.000150166,0.0003952437,0.0000432361,0.00009354889,0.00003362697,0.0002948192,0.00003134879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002908526,"about_ca_system_score_gemma":0.00004366834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067595,"about_ca_topic_score_gemma":0.0007606077,"domain_scores_codex":[0.9982806,0.0002361729,0.0003549335,0.0003679699,0.0004683194,0.0002919461],"domain_scores_gemma":[0.9990321,0.0002520599,0.0001532482,0.0003764998,0.00007396311,0.0001120848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000479225,0.0001005167,0.9534929,0.0000377697,0.001166033,0.000009917881,0.0002169521,0.00001597333,0.000004405893,0.00003348128,0.00002673393,0.04484741],"study_design_scores_gemma":[0.004306337,0.0001506081,0.9821485,0.00006465509,0.0008694153,0.000008650024,0.0003252403,0.00004901431,0.000004801972,0.0002865724,0.01161143,0.0001747668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737018,0.023445,0.000002071167,0.0009602185,0.0002193238,0.00116007,0.000007059783,0.00006993046,0.0004345816],"genre_scores_gemma":[0.9963899,0.001543776,0.00002396257,0.00007801702,0.00002906063,0.00003531018,0.0000387014,0.00003111826,0.001830164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04467265,"threshold_uncertainty_score":0.5579005,"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."}}