{"id":"W4413479754","doi":"10.1101/2025.08.20.671097","title":"SRRM1 coordinates an alternative splicing program that promotes expression of oncogenic protein isoforms","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Gene isoform; Alternative splicing; RNA splicing; Cell biology; Protein expression; Expression (computer science); Focus (optics); Computational biology; Biology; Genetics; Computer science; Gene; Physics; RNA","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001770228,0.0002449055,0.00021217,0.0001669663,0.0001298021,0.0003374972,0.000216934,0.0003181005,0.00199394],"category_scores_gemma":[0.0001290386,0.0001629888,0.0001758205,0.000105623,0.0002089907,0.0001229757,0.0003177829,0.000369625,0.00125316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540835,"about_ca_system_score_gemma":0.0001345684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002431359,"about_ca_topic_score_gemma":0.0004735583,"domain_scores_codex":[0.999828,0.00002482851,0.0000103754,0.0000464507,0.00006331971,0.00002708368],"domain_scores_gemma":[0.9998857,0.00002106096,0.0000419079,0.00001728976,0.000009425696,0.00002458269],"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":[0.00002934686,0.000005510853,0.0002541452,0.00001296099,0.000001848198,0.00008419568,0.00000656173,0.00007143782,0.9983898,0.0001712195,0.00005806657,0.0009147791],"study_design_scores_gemma":[0.00001011243,0.00004946617,0.003610165,0.000004071947,0.00000455144,0.0003384134,0.00001787363,0.001946957,0.9905711,0.00007408668,0.003370134,0.00000289092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833385,0.0009837797,0.009883452,0.0002042139,0.00004371618,0.00002030304,0.0006049036,0.0004864274,0.00443479],"genre_scores_gemma":[0.9891695,0.0003204132,0.004642264,0.00007520927,0.00001212199,0.0000157551,0.0008789133,0.0001269242,0.004758967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00199394,"threshold_uncertainty_score":0.006670415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662643898625847,"score_gpt":0.2746642421007489,"score_spread":0.2580378031144904,"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."}}