{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833812,0.0001278666,0.0001650843,0.00005040602,0.0001289687,0.00004448228,0.000275211,0.0001753675,0.00001041007],"category_scores_gemma":[0.00008189595,0.0001341335,0.00005434102,0.00002963337,0.0002410823,0.000008070657,0.00008961478,0.0000947402,0.000001083583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001558763,"about_ca_system_score_gemma":0.00005718289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006989431,"about_ca_topic_score_gemma":0.00006926258,"domain_scores_codex":[0.9989932,0.00004393174,0.0002224565,0.0002870525,0.0001966055,0.0002567458],"domain_scores_gemma":[0.9992626,0.000005152073,0.0001052649,0.0004280389,0.0001007653,0.00009815909],"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":[0.0001113427,0.00004096848,0.09923562,0.00003114427,0.00003170571,0.000001522643,0.00004120975,0.00001933857,0.8834379,0.00002014937,0.01170028,0.005328786],"study_design_scores_gemma":[0.00161523,0.0003402504,0.4937194,0.0000413228,0.00002094321,0.000007438754,0.0001574253,0.001732015,0.4573368,0.0003987111,0.04432748,0.0003030369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890352,0.005672924,0.004044086,0.0003317465,0.0002514775,0.0001870415,0.0001029151,0.000003417375,0.0003711589],"genre_scores_gemma":[0.9857843,0.0009827696,0.01068274,0.00007232429,0.00008625801,0.00001006137,0.0001734966,0.00001976887,0.002188294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4261012,"threshold_uncertainty_score":0.5469805,"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."}}