{"id":"W2141415504","doi":"10.1261/rna.040865.113","title":"Enhancement of hepatitis C viral RNA abundance by precursor miR-122 molecules","year":2013,"lang":"en","type":"article","venue":"RNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; Life Sciences Research Foundation; National Institute of Allergy and Infectious Diseases; Amgen; Canadian Institutes of Health Research; Leukemia and Lymphoma Society; Howard Hughes Medical Institute","keywords":"Biology; Dicer; RNA; microRNA; MiR-122; Molecular biology; Non-coding RNA; Gene expression; Messenger RNA; Gene; Cell biology; RNA interference; Genetics","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":[0.0002275915,0.0002862279,0.000325228,0.0001445642,0.0001203779,0.0003662315,0.0001448917,0.0002054051,0.001208114],"category_scores_gemma":[0.0003822334,0.0001281442,0.0001794515,0.0000889067,0.0001979787,0.000200849,0.0001478204,0.0004538688,0.0003033902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434586,"about_ca_system_score_gemma":0.0002226459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623706,"about_ca_topic_score_gemma":0.0002985197,"domain_scores_codex":[0.9998621,0.00003497729,0.00001358102,0.00003569866,0.00003264651,0.000020969],"domain_scores_gemma":[0.9997882,0.00006029398,0.00004287733,0.00003049181,0.00003074691,0.00004730124],"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":[0.00009068379,0.00001668225,0.00005337653,0.00001973207,0.000001932973,0.00001442911,0.000006313062,0.00002724535,0.9982166,0.0001251254,0.00001518816,0.001412739],"study_design_scores_gemma":[0.0000150087,0.0004876829,0.0005951558,0.000002573583,0.000006678335,0.00008942615,0.000004997383,0.0004262614,0.99692,0.00003740767,0.001412298,0.000002624075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887983,0.001752864,0.006894877,0.00009423155,0.00007135833,0.00005119637,0.000130328,0.0001262379,0.002080755],"genre_scores_gemma":[0.9881153,0.0007576348,0.008891162,0.00004876127,0.00003288289,0.0000532798,0.0001893742,0.00002726753,0.001884363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208114,"threshold_uncertainty_score":0.004041612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004265989735303036,"score_gpt":0.2201086736642455,"score_spread":0.2158426839289425,"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."}}