{"id":"W2103273849","doi":"10.1016/j.ceb.2012.03.005","title":"Alternative splicing: decoding an expansive regulatory layer","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Cell Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":181,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Alternative splicing; RNA splicing; Computational biology; Chromatin; Expansive; Gene; splice; Regulation of gene expression; Precursor mRNA; Gene regulatory network; Genetics; Gene expression; Gene isoform; Cell 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":[0.0005052311,0.0004690368,0.000873888,0.0002818409,0.00007586588,0.00002247997,0.0005768919,0.0005927239,0.00004122283],"category_scores_gemma":[0.0000566055,0.0003976808,0.0002855125,0.0001645043,0.0001294912,0.000009201609,0.0003519412,0.0005762127,0.00006778073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009464008,"about_ca_system_score_gemma":0.0002486798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003150326,"about_ca_topic_score_gemma":0.000007444064,"domain_scores_codex":[0.9971298,0.0005826434,0.0005978365,0.0008271877,0.0001221472,0.0007403909],"domain_scores_gemma":[0.9986289,0.00006533398,0.0003295711,0.0006475266,0.00007892548,0.0002497158],"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":[0.00001777453,0.0001448587,0.000296542,0.003653086,0.0000452859,7.500094e-7,0.0000372245,0.000003919316,0.004038241,0.0001906195,0.0004281952,0.9911435],"study_design_scores_gemma":[0.0003101281,0.0002191675,0.00001114189,0.001505857,0.00003183318,0.00001021806,0.00002651485,0.00003122929,0.0006716611,0.00003064509,0.9967021,0.0004494527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003572997,0.9915168,0.000304987,0.00000371269,0.003705563,0.0005864045,0.00005929626,0.00001298258,0.0002372423],"genre_scores_gemma":[0.001113798,0.9941339,0.00009347958,0.00001156322,0.002286943,0.0001604777,0.001987287,0.00005985916,0.0001527021],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962739,"threshold_uncertainty_score":0.9998475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1694354530429736,"score_gpt":0.4380701630384966,"score_spread":0.268634709995523,"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."}}