{"id":"W2142263097","doi":"10.1161/hq0302.105374","title":"Lipolytically Modified Triglyceride-Enriched HDLs Are Rapidly Cleared From the Circulation","year":2002,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institutes of Health; National Center for Research Resources; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Lipolysis; Internal medicine; Triglyceride; Hepatic lipase; Chemistry; Endocrinology; Apolipoprotein B; Ex vivo; Catabolism; In vivo; Clearance; Clearance rate; New Zealand white rabbit; Metabolism; Cholesterol; Biochemistry; Biology; In vitro; Adipose tissue; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000384571,0.0003572975,0.000482099,0.0001859266,0.00008250715,0.0004244397,0.000152698,0.0002132215,0.0008209868],"category_scores_gemma":[0.0003828215,0.0002853114,0.0002967324,0.0001036628,0.0002734418,0.0002523864,0.0001763399,0.000579311,0.000346296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966126,"about_ca_system_score_gemma":0.0001569933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003524646,"about_ca_topic_score_gemma":0.0003282887,"domain_scores_codex":[0.9997705,0.00004937728,0.00002378139,0.00005846164,0.00005733034,0.00004055514],"domain_scores_gemma":[0.9996731,0.00005319967,0.0001282291,0.00006918889,0.00003078832,0.00004546514],"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":[0.0004021186,0.00002230043,0.0007856007,0.00001906085,0.00001297875,0.00004533712,0.00001690222,0.00001596354,0.9969513,0.00002634718,0.000008468242,0.001693459],"study_design_scores_gemma":[0.0000490155,0.001540105,0.02734447,0.00000680976,0.0000550512,0.0005460511,0.00003154755,0.0005684073,0.9690856,0.00005265912,0.000714051,0.000006259616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953337,0.001335639,0.002791184,0.00003842472,0.00001151091,0.00001809763,0.00004973282,0.00003641568,0.0003852344],"genre_scores_gemma":[0.9951832,0.0008237342,0.002221996,0.00005586486,0.00001972289,0.00002689126,0.0001948875,0.00002282192,0.001451043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008209868,"threshold_uncertainty_score":0.002746522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813081163528224,"score_gpt":0.2614477614863032,"score_spread":0.203316949851021,"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."}}