{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439054,0.0003052843,0.0003526841,0.0001783544,0.00009935348,0.0002163152,0.0001589681,0.0002717571,0.001184237],"category_scores_gemma":[0.0001582122,0.0001387729,0.0005075228,0.0001027776,0.0002147689,0.0001389284,0.0003338283,0.0005819827,0.0008439413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624979,"about_ca_system_score_gemma":0.0001480725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088874,"about_ca_topic_score_gemma":0.0001909076,"domain_scores_codex":[0.9998332,0.00002873637,0.00001471628,0.00004257565,0.00004790211,0.00003291583],"domain_scores_gemma":[0.9998543,0.00003118406,0.00004506691,0.0000235259,0.0000151044,0.00003077816],"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":[0.00003379205,0.000008226196,0.0001056084,0.00002271048,0.000001721105,0.00003323663,0.00001028247,0.00001388725,0.9990737,0.00006023653,0.00001389232,0.0006226079],"study_design_scores_gemma":[0.00001791345,0.0002593243,0.005246099,0.000009382574,0.0000101795,0.0004026603,0.00003403691,0.0008120991,0.9895191,0.0001076715,0.003577012,0.000004622034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888979,0.002341461,0.005554841,0.0001674904,0.00005729613,0.00002505684,0.0001691366,0.0001448396,0.002642018],"genre_scores_gemma":[0.9912476,0.0007584934,0.004379279,0.00009558696,0.00002799285,0.00002734439,0.0004830802,0.00003221585,0.002948361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001184237,"threshold_uncertainty_score":0.003961623,"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."}}