{"id":"W2899466270","doi":"10.1016/j.molcel.2018.10.008","title":"Genome-wide CRISPR-Cas9 Interrogation of Splicing Networks Reveals a Mechanism for Recognition of Autism-Misregulated Neuronal Microexons","year":2018,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Human Frontier Science Program; Ontario Institute for Regenerative Medicine; EMBO; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Simons Foundation","keywords":"Biology; RNA splicing; Spliceosome; Alternative splicing; CRISPR; Enhancer; Genetics; Computational biology; Mechanism (biology); Gene; RNA; Gene expression; Exon","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":[0.0002626132,0.000146213,0.0001946594,0.00008793143,0.00006314772,0.00001240939,0.0001782503,0.0001573376,0.00002055852],"category_scores_gemma":[0.00007648174,0.0001564154,0.0001561671,0.0001224977,0.00009233081,0.000004878164,0.00009632368,0.0000814792,0.000003376739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818283,"about_ca_system_score_gemma":0.00006257159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003293981,"about_ca_topic_score_gemma":0.00001894148,"domain_scores_codex":[0.9987955,0.00008876592,0.0003498848,0.0003210469,0.0001385559,0.0003062141],"domain_scores_gemma":[0.9990653,0.00002203199,0.0002006701,0.0003006248,0.0003283626,0.00008297632],"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":[0.0001713235,0.00005137576,0.00006393106,0.00007203966,0.00004403543,0.000002233413,0.00003730188,0.00009087448,0.9986938,0.00007209867,0.0001060853,0.000594956],"study_design_scores_gemma":[0.0006799722,0.0008636467,0.0006416308,0.00004730427,0.00003738511,0.000004114196,0.000049435,0.003199692,0.9935846,0.0005774527,0.0001730909,0.0001416634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726026,0.0001210631,0.2265216,0.00005635174,0.00006007836,0.000340331,0.00002461871,0.000006643028,0.0002668054],"genre_scores_gemma":[0.9950662,0.00003365831,0.003876431,0.000209348,0.0000694705,0.00002528473,0.0002913034,0.00003550405,0.0003927663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226451,"threshold_uncertainty_score":0.6378435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131812167281121,"score_gpt":0.2524500561512931,"score_spread":0.239268839423181,"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."}}