{"id":"W2021377060","doi":"10.3109/10408363.2014.937523","title":"Revising the high-density lipoprotein targeting strategies – Insights from human and preclinical studies","year":2014,"lang":"en","type":"review","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Fibrate; Niacin; Bioinformatics; Clinical trial; Medicine; Population; High-density lipoprotein; Reverse cholesterol transport; Translational research; Dyslipidemia; Lipoprotein; Cholesterol; Biology; Internal medicine; Computational biology; Disease; Pathology","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01599157,0.0007233836,0.007046674,0.0001462338,0.0006015319,0.0003542739,0.000747114,0.0006810437,0.00003876596],"category_scores_gemma":[0.06468425,0.0003650452,0.0007108333,0.001014916,0.006262989,0.0003545312,0.0005213065,0.002586106,0.00008946529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005285031,"about_ca_system_score_gemma":0.0007164089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005676926,"about_ca_topic_score_gemma":0.0001026084,"domain_scores_codex":[0.9865314,0.005560579,0.004915134,0.00168371,0.0007254488,0.0005836682],"domain_scores_gemma":[0.973741,0.0224335,0.001273683,0.001401421,0.0005029577,0.0006474574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009857974,0.0001799858,0.0001393515,0.01417291,0.0000771279,0.00003569563,0.0000951003,4.258158e-8,0.000002433394,0.01429155,0.0008367471,0.9701592],"study_design_scores_gemma":[0.0002932723,0.0002742576,0.0009856767,0.05628127,0.0009613032,0.000005273314,0.0001835804,0.000003246244,6.835004e-7,0.005821096,0.9347917,0.0003986031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004132106,0.9915106,0.00001511542,0.0009177096,0.001581439,0.001602181,0.00001901795,0.00005090776,0.000170931],"genre_scores_gemma":[0.002000216,0.9905198,0.001928929,0.001759075,0.003598247,0.0001238895,0.00001587637,0.00003551901,0.00001839856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9697606,"threshold_uncertainty_score":0.9998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2742584546531602,"score_gpt":0.5438998165551513,"score_spread":0.2696413619019911,"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."}}