{"id":"W2802507864","doi":"10.14740/jem.v8i2-3.504","title":"Effects of Energy and Carbohydrate Intake on Serum High-Density Lipoprotein-Cholesterol Levels","year":2018,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Endocrinology; Triglyceride; Carbohydrate; Cholesterol; Fructose; High-density lipoprotein; Insulin resistance; Lipoprotein; Obesity; Food science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002890819,0.0006709427,0.002587544,0.001506063,0.000244387,0.001290986,0.0004779418,0.0007685998,0.002447218],"category_scores_gemma":[0.008880029,0.0003630581,0.00570565,0.002915591,0.0002812495,0.0006637052,0.0004618871,0.0007388614,0.0002280424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584211,"about_ca_system_score_gemma":0.0006852206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003412348,"about_ca_topic_score_gemma":0.005224932,"domain_scores_codex":[0.9978864,0.0006950578,0.000655434,0.0003263778,0.0003379768,0.00009879559],"domain_scores_gemma":[0.9962457,0.002584642,0.0006738546,0.0001270022,0.0003077485,0.000061096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.01608138,0.0003348765,0.1855327,0.2107167,0.4000263,0.0006386614,0.0002841861,0.0008966625,0.001668554,0.0008320117,0.005164606,0.1778234],"study_design_scores_gemma":[0.001263845,0.001307935,0.4125294,0.02685401,0.5301945,0.0008845633,0.0002277072,0.0005760603,0.001424691,0.002099185,0.02253146,0.0001067623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03896779,0.9570913,0.0003594722,0.0005573609,0.0002803382,0.00005927375,0.001594013,0.00001289403,0.001077443],"genre_scores_gemma":[0.5118734,0.4807838,0.00162099,0.00178533,0.0004847446,0.000219514,0.00211492,0.00003296598,0.001084473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003412348,"threshold_uncertainty_score":0.01528835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121868465360119,"score_gpt":0.250587422842691,"score_spread":0.2393687381890898,"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."}}