{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001353082,0.0001700883,0.0001699417,0.0001113385,0.0001596858,0.0002599338,0.0001738381,0.0001662446,0.001023373],"category_scores_gemma":[0.0001630041,0.0001170975,0.0001072313,0.00009100168,0.0002186816,0.0001207438,0.0002147571,0.0002606945,0.0003294927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389293,"about_ca_system_score_gemma":0.0002207818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007957853,"about_ca_topic_score_gemma":0.00205268,"domain_scores_codex":[0.9998887,0.00001713747,0.000007042541,0.00003087159,0.00002980892,0.00002653132],"domain_scores_gemma":[0.9998939,0.00001896348,0.00002984022,0.00001537246,0.00001297516,0.00002899682],"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":[0.00003760752,0.000005745851,0.0003383294,0.000009314525,0.000001463528,0.00002525596,0.000005367989,0.00005457483,0.9982595,0.0001066139,0.00002760263,0.001128716],"study_design_scores_gemma":[0.000007776698,0.0001064718,0.01000432,0.000003262824,0.000007832864,0.0001915768,0.0000237666,0.002171652,0.9851472,0.000131758,0.002201353,0.000002997169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912456,0.0009148302,0.004938579,0.00009305727,0.00002151981,0.00001805226,0.000218585,0.0001637401,0.002385984],"genre_scores_gemma":[0.9946916,0.0003461436,0.00218176,0.00003561256,0.000006571671,0.00001364169,0.0002407166,0.00002853085,0.00245554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001023373,"threshold_uncertainty_score":0.003423572,"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."}}