{"id":"W3165851922","doi":"10.7554/elife.59654","title":"HNRNPM controls circRNA biogenesis and splicing fidelity to sustain cancer cell fitness","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Icahn School of Medicine at Mount Sinai; Institute of Molecular and Cell Biology; National Medical Research Council; National Research Foundation Singapore; Melanoma Research Alliance","keywords":"Spliceosome; RNA splicing; Biology; Intron; Exon; Alternative splicing; Gene; Genetics; Splicing factor; Cell biology; Computational biology; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002213879,0.0001138253,0.0001519033,0.00002038082,0.0001058831,0.0000481295,0.0001055662,0.00008290059,0.00004832182],"category_scores_gemma":[0.00016814,0.0001113749,0.00005282606,0.00009732094,0.00002780472,0.0000037847,0.0001770508,0.00005703218,0.000006895816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003035279,"about_ca_system_score_gemma":0.0001821424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182194,"about_ca_topic_score_gemma":0.0008486605,"domain_scores_codex":[0.998922,0.00006315323,0.0001531895,0.0003595506,0.0001638583,0.000338189],"domain_scores_gemma":[0.9992243,0.00001984727,0.00002858086,0.0002824377,0.000217885,0.0002269304],"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":[0.00004753693,0.00002092836,0.01085858,0.00003114549,0.00002482928,0.00001800084,0.00002792806,0.00006686791,0.9823307,0.00001725678,0.002677184,0.003879085],"study_design_scores_gemma":[0.0005696421,0.00007376443,0.01377285,0.00001640332,0.00001096604,0.000006275777,0.0003036043,0.0001355818,0.9610822,0.000006409273,0.02384918,0.0001731605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915667,0.006031127,0.0009390414,0.0007400464,0.00006344556,0.0001496618,0.00004540538,0.000008840696,0.0004557885],"genre_scores_gemma":[0.9927348,0.001285299,0.0002764257,0.001612613,0.0002498034,0.00003697839,0.00003353165,0.00001746537,0.003753069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124849,"threshold_uncertainty_score":0.4541738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113096326154398,"score_gpt":0.2906853057246713,"score_spread":0.2795543424631273,"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."}}