{"id":"W2124646855","doi":"10.1017/s1355838200991982","title":"The SRm160/300 splicing coactivator subunits","year":2000,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; National Institute of General Medical Sciences; Medical Research Council; Swedish Foundation for International Cooperation in Research and Higher Education; U.S. Public Health Service; Medical Research Council Canada; U.S. Department of Defense","keywords":"Biology; RNA splicing; Exonic splicing enhancer; Coactivator; Alternative splicing; Ribonucleoprotein; SR protein; Protein splicing; RNA-binding protein; Heterogeneous ribonucleoprotein particle; Splicing factor; Cell biology; Molecular biology; Genetics; RNA; Messenger RNA; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001700285,0.00007758453,0.00005829432,0.00001107666,0.0002521011,0.00004612599,0.000199923,0.00005537027,0.0001090662],"category_scores_gemma":[0.00005127324,0.00005358961,0.00004614446,0.00006758564,0.00005219189,0.000002466142,0.00003854157,0.00009515982,0.00009723585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009450914,"about_ca_system_score_gemma":0.00004493512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008133047,"about_ca_topic_score_gemma":0.00004322428,"domain_scores_codex":[0.9992976,0.00004192503,0.00009195642,0.0001582525,0.0001227471,0.0002875881],"domain_scores_gemma":[0.9995455,0.00002241247,0.00001802833,0.0002935803,0.00003193322,0.00008854837],"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":[0.00008263257,0.00001264718,0.000413998,0.000003179774,0.00002403201,0.00000366162,0.0000130511,0.00001392207,0.921927,0.00008649551,0.005473854,0.0719455],"study_design_scores_gemma":[0.0003171983,0.0001622821,0.002672035,0.00001327044,0.000005315182,0.00001644797,0.00007515126,0.000251251,0.6313054,0.00007473683,0.3649432,0.000163757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848559,0.0005288447,0.00005611876,0.0003532908,0.00003891699,0.00008631288,0.000002907666,0.00001007294,0.01406759],"genre_scores_gemma":[0.9658821,0.0004748817,0.00004256217,0.0002328635,0.0002299614,0.00000924641,0.00001139216,0.00001378369,0.03310316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3594693,"threshold_uncertainty_score":0.2185321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009732505546958354,"score_gpt":0.2601944724017305,"score_spread":0.2504619668547721,"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."}}