{"id":"W4388002856","doi":"10.1053/j.ajkd.2023.09.002","title":"A Deeper Dive Into Lipid Alterations in CKD","year":2023,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Johns Hopkins Bloomberg School of Public Health; NYU Grossman School of Medicine; York University; Johns Hopkins University","keywords":"Medicine; Kidney disease; Metabolomics; Biobank; Magnetic resonance imaging; Atherosclerotic cardiovascular disease; Internal medicine; Lipoprotein; Bioinformatics; Disease; Cholesterol; Radiology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003808832,0.0007456505,0.00204189,0.001156742,0.005028449,0.005157854,0.001302005,0.0539958,0.006599706],"category_scores_gemma":[0.03041673,0.0007671374,0.001441281,0.0008207357,0.003482378,0.005693919,0.002520217,0.06059027,0.002868031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00504455,"about_ca_system_score_gemma":0.005049284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008771746,"about_ca_topic_score_gemma":0.01441899,"domain_scores_codex":[0.9967835,0.001191619,0.0006633638,0.0003258846,0.0006307192,0.0004048048],"domain_scores_gemma":[0.9877239,0.006929988,0.0005771942,0.0003230697,0.001800201,0.00264559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008081218,0.0001034906,0.004151231,0.0001139064,0.00003269058,0.01240813,0.000370338,0.00008938859,0.0001939578,0.004383909,0.959772,0.01830011],"study_design_scores_gemma":[0.0005695997,0.0002824651,0.01195024,0.003631584,0.00016578,0.03640729,0.003394646,0.001603065,0.0003234022,0.04596943,0.8954242,0.0002782376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004248337,0.0009947181,0.00005394774,0.9843405,0.01237089,0.000006269639,0.00001721382,0.000008585753,0.001783066],"genre_scores_gemma":[0.006338244,0.001703517,0.0002715121,0.8453927,0.1426223,0.00002602588,0.00002265589,0.00002055095,0.003602462],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0539958,"threshold_uncertainty_score":0.03660095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018967825389356,"score_gpt":0.2744399240529236,"score_spread":0.2642502457990301,"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."}}