{"id":"W4413128315","doi":"10.1101/2025.08.11.669729","title":"Alternative splicing of NUMB correlates with tumor immune evasion and metabolic adaptation","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Evasion (ethics); NUMB; Immune system; Adaptation (eye); Alternative splicing; RNA splicing; Biology; Computational biology; Neuroscience; Cell biology; Genetics; Gene; RNA; Exon","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":[0.0003282427,0.0001080104,0.0002069785,0.0004546032,0.0001524889,0.000482951,0.0001010464,0.0002156784,0.001779936],"category_scores_gemma":[0.0007959484,0.0001034436,0.0001033338,0.0003553343,0.0002642512,0.0001952859,0.0002500191,0.0003433002,0.0003689936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579236,"about_ca_system_score_gemma":0.00005910897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001746311,"about_ca_topic_score_gemma":0.0001501095,"domain_scores_codex":[0.9997943,0.00004641402,0.00002054541,0.00006115968,0.00005433547,0.00002331517],"domain_scores_gemma":[0.9994648,0.00009968772,0.0002745985,0.00003760778,0.00004520748,0.00007807338],"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":[0.001284068,0.00005732573,0.3112887,0.0000606486,0.00009845149,0.0007531123,0.0001391123,0.0003259736,0.6753864,0.0002321678,0.0003185538,0.01005548],"study_design_scores_gemma":[0.00001789919,0.0001635469,0.8852209,0.00001616946,0.00004039304,0.00392959,0.0002309627,0.002134581,0.1061607,0.0005796421,0.001497495,0.000007992389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984465,0.00036999,0.0006114155,0.00004200768,0.000004437148,0.000002706292,0.0001502733,0.00001340824,0.0003593431],"genre_scores_gemma":[0.9985984,0.0001167021,0.0005056894,0.00002342192,0.000006778484,0.000005276899,0.0002708201,0.000008297872,0.0004646303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001779936,"threshold_uncertainty_score":0.005954504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009906578918632,"score_gpt":0.2326442921613517,"score_spread":0.2225452263721654,"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."}}