{"id":"W2114512817","doi":"10.1128/mcb.22.1.148-160.2002","title":"SRm160 Splicing Coactivator Promotes Transcript 3′-End Cleavage","year":2002,"lang":"en","type":"article","venue":"Molecular and Cellular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research; Medical Research Council Canada; U.S. Department of Defense","keywords":"RNA splicing; Biology; Polyadenylation; Cleavage and polyadenylation specificity factor; Precursor mRNA; Cleavage stimulation factor; SR protein; Cleavage factor; Cell biology; Protein splicing; Alternative splicing; Coactivator; Messenger RNA; Exon; Cleavage (geology); Molecular biology; Genetics; RNA; Gene; Transcription factor","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":[0.0001970819,0.0002367868,0.0002289941,0.00007239376,0.0001530976,0.00003835697,0.0002036797,0.0002552807,0.0001120928],"category_scores_gemma":[0.00005862546,0.0002162301,0.0001207019,0.000102062,0.0002055917,0.000005290834,0.0001034549,0.0001892718,0.00002497841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009631311,"about_ca_system_score_gemma":0.00001673927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005685011,"about_ca_topic_score_gemma":0.00001090319,"domain_scores_codex":[0.9984257,0.0001599966,0.0002147473,0.0005592332,0.0001100821,0.0005302698],"domain_scores_gemma":[0.9993221,0.00001229593,0.00004996792,0.0003732388,0.00003919927,0.0002032172],"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":[0.00003444378,0.00005850877,0.00109158,0.0000221122,0.00006979899,0.00004273988,0.00004149229,0.000001425706,0.9913462,0.0006043147,0.0003994535,0.006287965],"study_design_scores_gemma":[0.0006285232,0.0005534334,0.0001326067,0.00001011848,0.00001942239,0.00004578964,0.00004993476,0.0003206022,0.9795495,0.0001548094,0.01825951,0.0002757157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812136,0.005520263,0.009773496,0.0003271742,0.00007950269,0.0002455237,0.00001471144,0.00002489582,0.002800778],"genre_scores_gemma":[0.9972612,0.0002513717,0.0003855076,0.0004394747,0.0001121921,0.0000229206,0.00009836337,0.00003712034,0.001391868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786006,"threshold_uncertainty_score":0.8817608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194315556535334,"score_gpt":0.232111469757028,"score_spread":0.2201683141916747,"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."}}