{"id":"W2011920499","doi":"10.1038/ng.259","title":"Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing","year":2008,"lang":"en","type":"article","venue":"Nature Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4023,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Alternative splicing; RNA splicing; Exon; splice; Transcriptome; Computational biology; Gene expression profiling; RNA-Seq; Genetics; Gene; Complementary DNA; Human genome; Gene expression; Genome; RNA","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":[0.0004488358,0.000242704,0.0005103316,0.0004653787,0.0003220565,0.0005785784,0.0002033161,0.000451633,0.0004061382],"category_scores_gemma":[0.0008180193,0.0003111369,0.0004587776,0.0004945594,0.0002933147,0.0003602293,0.0003994596,0.0006877483,0.0001891789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260036,"about_ca_system_score_gemma":0.0002521084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082374,"about_ca_topic_score_gemma":0.002860786,"domain_scores_codex":[0.9997891,0.00004539511,0.00001047066,0.0000698731,0.00005573713,0.00002936908],"domain_scores_gemma":[0.9994013,0.0003229172,0.00007437281,0.00008283849,0.0000708029,0.00004785307],"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":[0.0003571732,0.00003308121,0.02672328,0.0001998082,0.0002579653,0.0002258296,0.0002609947,0.009747675,0.9251174,0.001718061,0.0009249409,0.03443374],"study_design_scores_gemma":[0.00006271613,0.0003110991,0.50486,0.00007076214,0.0005678482,0.002229783,0.0004706182,0.1743263,0.2784107,0.0204921,0.01806789,0.0001301701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352978,0.001956832,0.0576003,0.0003894393,0.00002445355,0.00001933449,0.003143113,0.0002803685,0.001288332],"genre_scores_gemma":[0.9630803,0.001081441,0.03089947,0.0002253745,0.00005200018,0.00003684324,0.003650408,0.00009580162,0.0008782456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001082374,"threshold_uncertainty_score":0.002373695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719731054958918,"score_gpt":0.3218389374974995,"score_spread":0.2746416269479103,"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."}}