{"id":"W2584485311","doi":"10.1016/j.molcel.2017.01.011","title":"Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors","year":2017,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":201,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Stem Cell Network","keywords":"Biology; RNA splicing; Alternative splicing; Transcription factor; Zinc finger; RNA-binding protein; Computational biology; SR protein; Cell biology; Genetics; Gene; RNA; Messenger 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001646439,0.0001539877,0.0001805535,0.0000295768,0.0001559765,0.00004088967,0.0003623997,0.0001355828,0.000009423591],"category_scores_gemma":[0.00004695358,0.0001463627,0.0001470192,0.00001911215,0.0001141138,0.000007081268,0.00005434755,0.0001152885,0.000001649824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342421,"about_ca_system_score_gemma":0.00002424571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002254002,"about_ca_topic_score_gemma":0.00001424771,"domain_scores_codex":[0.9989694,0.00006992077,0.0001861077,0.000298912,0.0001881776,0.0002874992],"domain_scores_gemma":[0.9990219,0.000007645522,0.0001716976,0.0006052126,0.00008080452,0.0001127527],"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":[0.00008639031,0.0000429575,0.002891478,0.00001513283,0.00005172519,0.000006433055,0.00002427809,0.001944288,0.9938725,0.00001390989,0.0002454744,0.0008054341],"study_design_scores_gemma":[0.001273864,0.0001725194,0.002262858,0.00001484172,0.00001767006,7.008535e-7,0.00003125136,0.009641831,0.985503,0.000008592091,0.0009220605,0.000150836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221166,0.0007942674,0.07600847,0.00003498468,0.00008341262,0.0002041487,0.00002257894,0.000005830424,0.000729724],"genre_scores_gemma":[0.9987386,0.00007630656,0.0001104972,0.0000682328,0.00005066607,0.000008554945,0.00004729892,0.00002741797,0.0008723967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07662204,"threshold_uncertainty_score":0.5968499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009447882491405053,"score_gpt":0.2478527671965109,"score_spread":0.2384048847051059,"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."}}