{"id":"W1904530464","doi":"10.1002/ddr.21269","title":"MicroRNAs and Noncoding RNAs in Hepatic Lipid and Lipoprotein Metabolism: Potential Therapeutic Targets of Metabolic Disorders","year":2015,"lang":"en","type":"review","venue":"Drug Development Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"microRNA; Biology; Lipid metabolism; Non-coding RNA; Gene; Long non-coding RNA; Computational biology; RNA; Cell biology; Bioinformatics; Genetics; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002227458,0.0003802174,0.0009802217,0.000550076,0.0001037021,0.00005799732,0.0003291775,0.0002870042,0.00001755233],"category_scores_gemma":[0.0001181515,0.0003324092,0.0001130303,0.0004100327,0.0002397717,0.00001045272,0.0005806882,0.0003593558,0.000008472067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005242221,"about_ca_system_score_gemma":0.001099719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008740769,"about_ca_topic_score_gemma":0.0001213324,"domain_scores_codex":[0.9969482,0.0007124753,0.0006720818,0.0006743175,0.000472971,0.0005198828],"domain_scores_gemma":[0.9990174,0.0000416716,0.0002169821,0.000368953,0.0001987275,0.0001562289],"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":[0.00003463813,0.00009359187,0.00008408351,0.004590792,0.0002821293,0.000003346988,0.0002930588,0.000001299024,0.004030466,0.00004363941,0.0001855769,0.9903574],"study_design_scores_gemma":[0.0005191619,0.00001871847,0.0007150841,0.001067392,0.0001142682,0.00001165329,0.0000645644,0.000007567468,0.004593874,0.00006990264,0.9924527,0.0003650649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01348362,0.9849149,0.00005182199,0.00002943267,0.00008559013,0.001317538,0.00001809546,0.000005400583,0.0000936161],"genre_scores_gemma":[0.007531126,0.9904527,0.0009175309,0.000005420504,0.0001000869,0.0002343316,0.0003152721,0.00006047846,0.0003830453],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9922672,"threshold_uncertainty_score":0.9999128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226187425719804,"score_gpt":0.3527977767266067,"score_spread":0.3105359024694087,"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."}}