{"id":"W2922162594","doi":"10.1161/atvb.38.suppl_1.385","title":"Abstract 385: Ultracentrifugation and Depletion Methods of High-density Lipoprotein Isolation Yield Particles That Are Functionally Distinct in Some of Their Vasoprotective Functions","year":2018,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Jerome's University; University of British Columbia","funders":"","keywords":"Vasoprotective; High-density lipoprotein; Ultracentrifuge; Cholesterol; Inflammation; Lipoprotein; Chemistry; Polyethylene glycol; Sphingomyelin; Function (biology); Endocrinology; Chromatography; Internal medicine; Biochemistry; Medicine; Cell biology; Nitric oxide; Biology","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":[0.0008326346,0.0008545646,0.0004654925,0.0005202457,0.0003577058,0.0008540667,0.0007181057,0.00056503,0.003247988],"category_scores_gemma":[0.0008052391,0.0001773752,0.0005238184,0.0005149755,0.0003324071,0.0006200877,0.000523357,0.0008020038,0.002384582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871802,"about_ca_system_score_gemma":0.0005670222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363523,"about_ca_topic_score_gemma":0.0009079934,"domain_scores_codex":[0.9994155,0.00008531545,0.00007014632,0.00008081835,0.0002960478,0.00005207292],"domain_scores_gemma":[0.9995654,0.000101356,0.00009118782,0.00006551065,0.0001407566,0.00003582359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005058032,0.000162046,0.001316402,0.0004643264,0.00004060514,0.0001606488,0.00008732592,0.0001822629,0.9459256,0.001311836,0.001646824,0.04819631],"study_design_scores_gemma":[0.00005654723,0.0004910915,0.007378657,0.00004296675,0.00007802126,0.0006765753,0.00002089938,0.001223552,0.9714018,0.0004421555,0.01817104,0.00001670762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7047207,0.03408802,0.213626,0.002995084,0.002299462,0.001064288,0.003022081,0.002240218,0.03594408],"genre_scores_gemma":[0.8236318,0.01354457,0.1248954,0.001343236,0.000601995,0.0005847118,0.005730322,0.0003915408,0.02927644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003247988,"threshold_uncertainty_score":0.01086557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601307585025386,"score_gpt":0.2785613439345619,"score_spread":0.2425482680843081,"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."}}