{"id":"W4283380378","doi":"10.1111/hiv.13351","title":"<scp>BMI</scp> as a predictor of high fasting blood glucose among people living with <scp>HIV</scp> in the Asia‐Pacific region","year":2022,"lang":"en","type":"article","venue":"HIV Medicine","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; Australian Government; National Heart, Lung, and Blood Institute; Fogarty International Center; National Institute of Mental Health; National Cancer Institute; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Capital Medical University; University of New South Wales; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Underweight; Hazard ratio; Overweight; Interquartile range; Body mass index; Confidence interval; Demography; Incidence (geometry); Internal medicine; Cumulative incidence; Cohort","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":[0.000438938,0.0002559483,0.0002311599,0.0004126309,0.0004912145,0.0007541185,0.0003105054,0.0003922035,0.001693004],"category_scores_gemma":[0.001421598,0.0002626973,0.0005276039,0.0008053876,0.0002484169,0.0003652963,0.000426244,0.0009254554,0.000157539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784565,"about_ca_system_score_gemma":0.0004954837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585731,"about_ca_topic_score_gemma":0.01429864,"domain_scores_codex":[0.9997976,0.00006633862,0.0000183811,0.00003502671,0.00003763344,0.00004503158],"domain_scores_gemma":[0.9989611,0.0001748912,0.0003973272,0.00005065255,0.0001258982,0.0002901676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003406272,0.00001289929,0.9995022,0.000003224687,0.0000202304,0.0000295094,0.00001734212,0.0000170385,0.00002987027,0.000003595705,0.00005618977,0.0002738224],"study_design_scores_gemma":[0.000004122912,0.00004601019,0.9989201,0.0000101425,0.00004446207,0.0001244401,0.0001727823,0.0005570707,0.00002850007,0.00001352626,0.00007658079,0.000002316521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991592,0.0001672771,0.00004948111,0.00008467833,0.000009109006,0.000004423438,0.0002715286,0.000002286208,0.00025207],"genre_scores_gemma":[0.9995903,0.00007699243,0.00004635661,0.00002250849,0.00001352678,0.000003946844,0.0001545968,9.384684e-7,0.00009078442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01585731,"threshold_uncertainty_score":0.03153002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304655645084268,"score_gpt":0.2470361129608995,"score_spread":0.2339895565100568,"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."}}