{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316504,0.0002455024,0.0002050638,0.0001731379,0.0001392392,0.0003030595,0.000171326,0.0002423273,0.00091911],"category_scores_gemma":[0.0001685187,0.0001105769,0.0002296258,0.0001114332,0.0001560777,0.0001473442,0.0002287639,0.0003410618,0.001258266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993976,"about_ca_system_score_gemma":0.0001733544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594228,"about_ca_topic_score_gemma":0.0003222122,"domain_scores_codex":[0.9999003,0.000008462844,0.000007132888,0.00002564094,0.00003653301,0.00002187679],"domain_scores_gemma":[0.9999151,0.000007115016,0.0000191381,0.00001470209,0.00001244115,0.00003150215],"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":[0.00007119484,0.00001456975,0.0004442268,0.00002334617,0.000003175538,0.00008160925,0.00001264088,0.00003176778,0.9952778,0.0005110009,0.00009281786,0.003435876],"study_design_scores_gemma":[0.00004202033,0.0001448446,0.01367109,0.00001404808,0.00001520684,0.001433516,0.00005403343,0.001324296,0.9673164,0.0007536952,0.01522036,0.00001046552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765869,0.004011384,0.01099314,0.000284963,0.00008010469,0.00004641461,0.0005431329,0.000318046,0.007135948],"genre_scores_gemma":[0.9773476,0.001357586,0.0102052,0.0001252748,0.00003662369,0.00003833806,0.002292152,0.00004599813,0.008551259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00091911,"threshold_uncertainty_score":0.003074706,"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."}}