{"id":"W3085691539","doi":"10.7555/jbr.34.20190094","title":"Postprandial dyslipidemia in insulin resistant states in adolescent populations","year":2020,"lang":"en","type":"article","venue":"Journal of Biomedical Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Dyslipidemia; Postprandial; Metabolic syndrome; Internal medicine; Insulin resistance; Endocrinology; Medicine; Population; Chylomicron; Lipoprotein; Cholesterol; Very low-density lipoprotein; Diabetes mellitus; Insulin; 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":[0.005485907,0.0001176034,0.0006607517,0.0009272887,0.00004663715,0.00003173493,0.0002342024,0.0001776479,0.0001420769],"category_scores_gemma":[0.006104154,0.0000893556,0.0002465307,0.001591842,0.0002629594,0.0001026855,0.00009660955,0.001897327,0.00003426907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318027,"about_ca_system_score_gemma":0.0007622466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104339,"about_ca_topic_score_gemma":0.0004006958,"domain_scores_codex":[0.995397,0.0005913806,0.001000192,0.0002187118,0.002249434,0.0005432653],"domain_scores_gemma":[0.9982622,0.0002523685,0.0001161623,0.0001890231,0.0003492124,0.0008310676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0231224,0.003286614,0.07095196,0.001325841,0.0003970034,0.009523036,0.004290009,0.0001070769,0.007934553,0.0001884258,0.03316638,0.8457067],"study_design_scores_gemma":[0.01063019,0.004336916,0.8916708,0.001610374,0.00004701781,0.00005627987,0.001171893,0.001012486,0.000386827,0.0008441205,0.08805972,0.0001734054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592097,0.003948127,0.0002083812,0.03578126,0.000179379,0.0004323574,0.0000130526,0.00000923957,0.0002185222],"genre_scores_gemma":[0.9967616,0.0008163615,0.0008150816,0.0005284422,0.001015452,0.000006201146,0.00001690819,0.00002013249,0.0000198452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8455333,"threshold_uncertainty_score":0.8243048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593156082601512,"score_gpt":0.4163035849909664,"score_spread":0.2569879767308152,"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."}}