{"id":"W2141635162","doi":"10.1038/emboj.2013.136","title":"A DIStinctively novel exoribonuclease that really likes U","year":2013,"lang":"en","type":"letter","venue":"The EMBO Journal","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Library science; Editorial board; Biology; Gerontology; Medicine; Computer science","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":[0.0004253472,0.0004022948,0.0004934218,0.0001462804,0.0005920919,0.001045038,0.0005450008,0.007115941,0.001795391],"category_scores_gemma":[0.001447214,0.0002279761,0.0004476193,0.0001781519,0.0008655945,0.0007424516,0.0004354199,0.002744543,0.001317578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520539,"about_ca_system_score_gemma":0.0003119391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003071322,"about_ca_topic_score_gemma":0.0003661661,"domain_scores_codex":[0.9996891,0.00006391593,0.00003331208,0.00008560225,0.00005397424,0.0000741008],"domain_scores_gemma":[0.9996046,0.0001437083,0.00005191907,0.00007315738,0.0000421784,0.0000843796],"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":[0.004422011,0.0004256144,0.007770145,0.0006083284,0.000179728,0.06397058,0.0004347512,0.0007752275,0.3711973,0.04119346,0.3360672,0.1729556],"study_design_scores_gemma":[0.0004254132,0.001095499,0.004175663,0.00004619389,0.00007874642,0.06777415,0.0003337974,0.002848287,0.2390142,0.01646836,0.6676071,0.0001324751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3245867,0.03889629,0.02694002,0.4745852,0.0737771,0.0002063095,0.00083895,0.002109268,0.05806028],"genre_scores_gemma":[0.8095534,0.006978127,0.0156443,0.1185918,0.01119907,0.0001351226,0.0005023509,0.0001609587,0.03723484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007115941,"threshold_uncertainty_score":0.006006122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276584898011842,"score_gpt":0.2460060760554614,"score_spread":0.2183475862542772,"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."}}