{"id":"W3094510447","doi":"10.1002/cpmb.128","title":"Preparation of Mammalian Nascent RNA for Long Read Sequencing","year":2020,"lang":"en","type":"article","venue":"Current Protocols in Molecular Biology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"RNA; Intron; Biology; RNA splicing; Computational biology; RNA editing; Genetics; Post-transcriptional modification; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074696,0.001070782,0.0007185097,0.0008702177,0.0008211922,0.0006275453,0.0009805565,0.0006158345,0.01042694],"category_scores_gemma":[0.001311076,0.0008504766,0.0007211606,0.0007045214,0.0003267571,0.0003549057,0.0005373278,0.002164675,0.01405813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578062,"about_ca_system_score_gemma":0.0008699127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370823,"about_ca_topic_score_gemma":0.00140762,"domain_scores_codex":[0.9992205,0.0001516436,0.00009309921,0.0001944207,0.0002593565,0.00008091315],"domain_scores_gemma":[0.999334,0.00015203,0.00004538492,0.0001596013,0.0002165123,0.00009249372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008587523,0.00004491088,0.0001574734,0.00022004,0.00001625634,0.0001052902,0.00005653867,0.0003254889,0.9855106,0.001093917,0.002895329,0.009488318],"study_design_scores_gemma":[0.0001035769,0.0004662659,0.002152839,0.0001165229,0.0000636843,0.0003346098,0.00006012231,0.004553242,0.8271133,0.001791875,0.1631883,0.00005572322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06497002,0.002829954,0.8589639,0.00054001,0.001398472,0.0084513,0.03052513,0.008143969,0.02417724],"genre_scores_gemma":[0.07107602,0.002738806,0.7818077,0.0006974537,0.0002584404,0.007768199,0.106594,0.001752209,0.02730716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01042694,"threshold_uncertainty_score":0.03488159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06094677075604387,"score_gpt":0.4174541798904565,"score_spread":0.3565074091344126,"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."}}