{"id":"W3008732315","doi":"10.1002/lipd.12223","title":"A Phytosterolemic Mixture of Sterols Inhibits Cholesterol Synthesis, Esterification, and Low‐Density Lipoprotein Receptor mRNA Abundance in HepG2 Cells","year":2020,"lang":"en","type":"article","venue":"Lipids","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Thrombosis and Atherosclerosis Research Institute; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Cholesterol; Campesterol; Cholesteryl ester; Incubation; LDL receptor; Chemistry; Clinical chemistry; Sterol; Reverse cholesterol transport; Lipidology; Biochemistry; Messenger RNA; Receptor; Lipoprotein","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002862106,0.0003511801,0.0008746845,0.0001421346,0.00004373513,0.00004361976,0.0001937088,0.0002524023,0.00005030098],"category_scores_gemma":[0.0001701793,0.0003229747,0.00011184,0.0004011789,0.0001563596,0.0002274655,0.0001155799,0.0004678756,0.00005159859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000333784,"about_ca_system_score_gemma":0.00006970317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009302264,"about_ca_topic_score_gemma":0.0000495261,"domain_scores_codex":[0.9977128,0.0001526322,0.0007405539,0.0006579771,0.0003641696,0.0003718931],"domain_scores_gemma":[0.9986492,0.00007902436,0.0002783775,0.0005311083,0.0001169445,0.0003452863],"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":[0.0006205665,0.0001603866,0.01987427,0.001037503,0.00003878634,0.000005892002,0.003089149,0.00000328229,0.9506708,0.00001249362,0.0006375122,0.02384935],"study_design_scores_gemma":[0.002916513,0.0002806977,0.195585,0.001149668,0.00008800266,0.00003135649,0.0001840512,0.000131198,0.7907555,0.00001276662,0.008553977,0.0003113499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930583,0.0005978743,0.00007973718,0.004779273,0.0003189302,0.0008892643,0.00005081993,0.00007455515,0.000151237],"genre_scores_gemma":[0.9948739,0.0003037154,0.0007355902,0.002903518,0.0008562203,0.00007918829,0.00001784398,0.0000525857,0.0001774853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757107,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146816066177742,"score_gpt":0.2237570192005611,"score_spread":0.2122888585387837,"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."}}