{"id":"W2006616325","doi":"10.1016/j.cell.2008.03.010","title":"SnapShot: The Splicing Regulatory Machinery","year":2008,"lang":"en","type":"article","venue":"Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Snapshot (computer storage); RNA splicing; Computational biology; Genetics; Cell biology; Gene; RNA; Database; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001331428,0.00007275481,0.00005669854,0.0000153763,0.0001803371,0.000008908466,0.0001820292,0.00005279527,0.00005031712],"category_scores_gemma":[0.0000212298,0.000049291,0.00005821792,0.00004631416,0.00008425539,0.000001407136,0.00008347043,0.0000958688,0.00003085974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000615554,"about_ca_system_score_gemma":0.00004480953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003158646,"about_ca_topic_score_gemma":0.000008762267,"domain_scores_codex":[0.9994087,0.0000341398,0.00008110597,0.0001616395,0.000108742,0.0002057072],"domain_scores_gemma":[0.9995333,0.000009812331,0.00002240356,0.000348482,0.00002352379,0.00006249888],"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":[0.0000147182,0.00001352361,0.002247822,0.000005486531,0.000006200253,0.000009101986,0.00002797972,0.00004133537,0.9756714,0.00001499529,0.02165575,0.0002917168],"study_design_scores_gemma":[0.0002963436,0.00008660885,0.01321433,0.000004133594,0.000003833011,0.0000549721,0.00004757012,0.000257892,0.9219065,0.00002155719,0.06397816,0.0001280791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819463,0.0009372291,0.0001338071,0.0001334771,0.00005550632,0.00007233932,0.000001467218,0.000006157384,0.01671374],"genre_scores_gemma":[0.9827954,0.0001952371,0.00009339173,0.0004030412,0.0002359335,0.000005957003,0.00002917292,0.00001223423,0.01622967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05376484,"threshold_uncertainty_score":0.2010029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202467684353311,"score_gpt":0.2374533073942728,"score_spread":0.2254286305507397,"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."}}