{"id":"W4409221963","doi":"10.1161/atvb.39.suppl_1.684","title":"Abstract 684: Nobiletin Corrects Intestinal Lipid Metabolism in <i>Ldlr</i> <sup>-/-</sup> Mice Fed a High-fat Diet","year":2019,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Bioactive Compounds in Plants","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Lipid metabolism; LDL receptor; Nobiletin; Endocrinology; Internal medicine; Chemistry; Metabolism; Cholesterol; Food science; Biology; Biochemistry; Medicine; Lipoprotein","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004385111,0.000408511,0.0007412543,0.00004903242,0.0001771181,0.0001146767,0.0004390564,0.0003229277,0.0009463454],"category_scores_gemma":[0.00006912895,0.0001970349,0.0002015569,0.0003395605,0.0002215385,0.0001853199,0.0002768833,0.0003555396,0.0002954712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004072617,"about_ca_system_score_gemma":0.00000965055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182061,"about_ca_topic_score_gemma":0.0005363228,"domain_scores_codex":[0.9975261,0.0002816659,0.0004639227,0.0008943727,0.0001712914,0.0006626601],"domain_scores_gemma":[0.998928,0.0004673136,0.0001769252,0.0001933859,0.00007604943,0.0001583437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003605508,0.000256523,0.1833927,0.0000186675,0.0000867643,2.419378e-7,0.0001605175,0.000003398363,0.812823,0.0001786929,0.0004607468,0.002582721],"study_design_scores_gemma":[0.0006667894,0.00064355,0.9875647,0.0001206356,0.00003497044,0.000001351659,0.0002706344,0.0001138196,0.00121061,0.0001249497,0.008810267,0.0004376679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977311,0.00009538179,0.000003653076,0.0007237749,0.0004567579,0.0004614236,0.0001051139,0.00007775769,0.000344992],"genre_scores_gemma":[0.9975361,0.0008139475,0.0002035143,0.0009171605,0.0002826491,0.00005836969,0.0001725244,0.000005760618,0.000009936005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8116124,"threshold_uncertainty_score":0.9999669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513942351349685,"score_gpt":0.2329039622733682,"score_spread":0.2077645387598714,"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."}}