{"id":"W4254863735","doi":"10.3410/f.717980333.793471551","title":"Faculty Opinions recommendation of Mono-uridylation of pre-microRNA as a key step in the biogenesis of group II let-7 microRNAs.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Drosha; Dicer; microRNA; Biogenesis; Ribonuclease III; LIN28; Cell biology; Biology; Embryonic stem cell; RNA; Genetics; RNA interference; Gene; Induced pluripotent stem cell","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531785,0.0006613381,0.0004186919,0.001293475,0.001217969,0.003145181,0.0008148689,0.00235519,0.2191789],"category_scores_gemma":[0.003731736,0.0003287591,0.0005529396,0.001572983,0.0005876118,0.00125947,0.001021437,0.002350189,0.1071647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219693,"about_ca_system_score_gemma":0.005203885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718658,"about_ca_topic_score_gemma":0.01122902,"domain_scores_codex":[0.9987617,0.00009407601,0.00008954309,0.0001817767,0.0007463821,0.000126594],"domain_scores_gemma":[0.9948527,0.0002354664,0.0003955539,0.0002641987,0.003235897,0.00101617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001433094,0.00009343294,0.001306211,0.001031638,0.00003420943,0.0003505329,0.0001454795,0.0002691678,0.01544896,0.005832499,0.69989,0.2754546],"study_design_scores_gemma":[0.000009317264,0.00003474143,0.00119524,0.0001481425,0.00001390059,0.00009622376,0.00007045099,0.0000902192,0.002628004,0.0007793619,0.9949217,0.00001258382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.007399627,0.02430312,0.01067018,0.09719558,0.08654545,0.0004897116,0.007697436,0.001688428,0.7640104],"genre_scores_gemma":[0.02692761,0.02619269,0.006254905,0.01317872,0.01475476,0.000129193,0.004789339,0.0005602888,0.9072126],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2191789,"threshold_uncertainty_score":0.7332265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843120254902211,"score_gpt":0.3173185637804826,"score_spread":0.2988873612314605,"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."}}