{"id":"W1691146018","doi":"10.1186/1471-2105-7-305","title":"Taking U out, with two nucleases?","year":2006,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Institutes of Health; U.S. Department of Energy","keywords":"Trypanosoma brucei; Biology; Computational biology; Subfamily; RNA editing; RNA; Function (biology); Genetics; Protein domain; Gene","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":[0.002075604,0.0007716946,0.0009110147,0.0004505812,0.001305027,0.002768958,0.001125396,0.002256524,0.0302636],"category_scores_gemma":[0.004946983,0.0003350162,0.001039114,0.0005364261,0.001887545,0.00363755,0.001904446,0.001401906,0.008245587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007565673,"about_ca_system_score_gemma":0.001143307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006823702,"about_ca_topic_score_gemma":0.0006324367,"domain_scores_codex":[0.9984742,0.0003255864,0.00009630578,0.0005527468,0.0002994867,0.0002516698],"domain_scores_gemma":[0.9985406,0.0005953898,0.0001684199,0.000318208,0.0001747761,0.0002025572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002402477,0.0004825718,0.01685369,0.001161897,0.0001978953,0.003760716,0.002460242,0.004220335,0.07399999,0.3813973,0.03590313,0.4771597],"study_design_scores_gemma":[0.0002841944,0.0009138813,0.002901684,0.0002911096,0.0002168138,0.0101592,0.002761573,0.01791433,0.1103996,0.2726027,0.5813127,0.0002422064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163438,0.01335966,0.4789653,0.02299982,0.006342088,0.0006200806,0.001315239,0.007430373,0.2526237],"genre_scores_gemma":[0.5738299,0.002690836,0.329079,0.00581383,0.0004099149,0.0003031128,0.001012186,0.0006292087,0.08623195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0302636,"threshold_uncertainty_score":0.1012418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183075720446682,"score_gpt":0.2450078684551008,"score_spread":0.233177111250634,"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."}}