{"id":"W2771477194","doi":"10.3389/fgene.2017.00189","title":"Post-transcriptional Regulation of PCSK9 by miR-191, miR-222, and miR-224","year":2017,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; Ministry of Health and Medical Education; Fondation Leducq","keywords":"PCSK9; microRNA; Kexin; Proprotein convertase; Subtilisin; Biology; Luciferase; Three prime untranslated region; Transfection; Untranslated region; Gene silencing; Regulation of gene expression; Messenger RNA; Cell biology; Computational biology; Gene; LDL receptor; Genetics; Biochemistry; Enzyme; Cholesterol; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446744,0.0002843165,0.0002599861,0.0001734879,0.0001908452,0.0003808863,0.0001034132,0.0001516157,0.0008027775],"category_scores_gemma":[0.0002139094,0.0001912534,0.0003824199,0.0001153944,0.0002041909,0.0001283268,0.0001894802,0.0004349082,0.0006430004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263003,"about_ca_system_score_gemma":0.0002149572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000429803,"about_ca_topic_score_gemma":0.0005371015,"domain_scores_codex":[0.9997825,0.00002773887,0.00002496618,0.00005731059,0.00007307577,0.00003453113],"domain_scores_gemma":[0.9998935,0.00003026542,0.00003509393,0.00001039318,0.00001724682,0.00001340211],"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":[0.0001647082,0.00002085596,0.0007517272,0.00006332196,0.000008726461,0.00007319346,0.00002881637,0.0001061488,0.9959192,0.0001620914,0.00006832316,0.002632984],"study_design_scores_gemma":[0.00001242255,0.0001139381,0.01092634,0.000006321548,0.00002646967,0.000313558,0.00003311184,0.001518013,0.9832596,0.00006049614,0.003721572,0.000008182703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811205,0.00409759,0.009623278,0.0001325611,0.00009189266,0.00005922736,0.000697181,0.0002347642,0.003942864],"genre_scores_gemma":[0.9843342,0.00151227,0.009496906,0.00008839971,0.0000200991,0.00006200282,0.0009353429,0.00004273866,0.003508049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008027775,"threshold_uncertainty_score":0.002685606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009121392982892622,"score_gpt":0.2546567315673032,"score_spread":0.2455353385844106,"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."}}