{"id":"W2110868158","doi":"10.1261/rna.2603911","title":"Networking in a global world: Establishing functional connections between neural splicing regulators and their target transcripts","year":2011,"lang":"en","type":"review","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Alternative splicing; RNA splicing; Computational biology; Exon; Gene; Context (archaeology); Genetics; Gene isoform; Function (biology); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003793303,0.0003531958,0.0007004762,0.0001737143,0.0001588965,0.00009589567,0.0002209096,0.0002780598,0.00001203094],"category_scores_gemma":[0.000045784,0.0002950744,0.0002532165,0.0004654357,0.000073418,0.00001375817,0.0001303288,0.0004181085,0.000002067147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007486621,"about_ca_system_score_gemma":0.0001582912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299571,"about_ca_topic_score_gemma":0.0005307305,"domain_scores_codex":[0.9982257,0.0001806509,0.0004145952,0.0005556932,0.0001119302,0.0005113922],"domain_scores_gemma":[0.9993224,0.0000479116,0.0001332277,0.0002835632,0.00003506698,0.0001778924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002811735,0.00002480079,0.005052817,0.001174102,0.000228843,0.00000953237,0.00003062901,0.0000209113,0.0002603793,0.0001412811,0.0008518966,0.9921767],"study_design_scores_gemma":[0.0002488781,0.00007492779,0.0007722775,0.002003927,0.00008649436,0.00005301958,0.00003151762,0.0001129963,0.00003460188,0.0001158383,0.9960465,0.0004190246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01646421,0.9812459,0.000605699,0.0000214924,0.0003893466,0.000366799,0.00005989075,0.00001909221,0.0008275787],"genre_scores_gemma":[0.03610628,0.9604255,0.00009971985,0.00004577051,0.002004059,0.00005610057,0.000441604,0.00006020442,0.0007607326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9951946,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389034324917941,"score_gpt":0.3040425222537654,"score_spread":0.250152179004586,"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."}}