{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347994,0.0008220741,0.001119695,0.001121601,0.0004262034,0.001375022,0.0009224306,0.001354127,0.002169353],"category_scores_gemma":[0.0004418487,0.0002829727,0.0003034255,0.001249248,0.001180518,0.002281168,0.0007900925,0.001570315,0.00154073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009438777,"about_ca_system_score_gemma":0.001124537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007517636,"about_ca_topic_score_gemma":0.001658283,"domain_scores_codex":[0.9998593,0.00003189384,0.00001630181,0.00003003725,0.00004545024,0.0000169816],"domain_scores_gemma":[0.9997558,0.0001258697,0.0000337214,0.000009638071,0.00004625943,0.0000287299],"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":[0.00004627333,0.00002430551,0.0002591937,0.007021324,0.00006385591,0.0003790864,0.0001414332,0.0005232333,0.00570542,0.02588121,0.01250443,0.9474502],"study_design_scores_gemma":[0.00001014268,0.00006910582,0.001020014,0.00212453,0.00007929537,0.001902436,0.0002091411,0.0001923963,0.002293466,0.01373008,0.9783403,0.00002910508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003874701,0.9953245,0.0009043399,0.0006505114,0.000280433,0.000005881378,0.00001602254,0.00001791643,0.002412817],"genre_scores_gemma":[0.001408422,0.996596,0.0007541642,0.000177114,0.0001656751,0.000009085933,0.00002497168,0.000002563384,0.0008621241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002169353,"threshold_uncertainty_score":0.007257164,"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."}}