{"id":"W3159478241","doi":"10.1261/rna.078747.121","title":"Differential translation of mRNA isoforms transcribed with distinct sigma factors","year":2021,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Searle Scholars Program; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Sigma factor; Biology; Regulon; RNA polymerase; Genetics; Transcription (linguistics); Promoter; Eukaryotic translation; RNA; Translation (biology); Gene; Cell biology; Transcription factor; Molecular biology; Gene expression; Messenger RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003874704,0.0003238728,0.0003441317,0.000215759,0.0001565963,0.0005667361,0.0001569241,0.0002938565,0.0007230427],"category_scores_gemma":[0.0003596226,0.0002065475,0.0003299929,0.0001853416,0.000323874,0.0002324593,0.0003816606,0.0007379126,0.0004071266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305544,"about_ca_system_score_gemma":0.0001765459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001892684,"about_ca_topic_score_gemma":0.0003273117,"domain_scores_codex":[0.9995364,0.00006299175,0.00004672399,0.0001332994,0.0001311775,0.00008945262],"domain_scores_gemma":[0.9995381,0.0001373611,0.00008122187,0.00006480613,0.00008349628,0.00009494513],"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":[0.0000363426,0.000003778026,0.0001515603,0.000008086156,0.000001525785,0.00001302279,0.000005705959,0.00001113671,0.9993632,0.00002995208,0.000005558233,0.0003700757],"study_design_scores_gemma":[0.00000675253,0.0001887018,0.007169906,0.000005809996,0.00001193239,0.0001602949,0.00003672661,0.0004884862,0.9911574,0.0000884285,0.0006802123,0.000005338029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937292,0.0009271981,0.003891136,0.00008607425,0.00003485883,0.00001033399,0.0001916786,0.00004945026,0.001080144],"genre_scores_gemma":[0.9926935,0.0004928496,0.00399499,0.0001042653,0.00002697197,0.00002878309,0.0008069935,0.00004883615,0.001802721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007230427,"threshold_uncertainty_score":0.002418816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412995933591131,"score_gpt":0.2214950778254521,"score_spread":0.2073651184895408,"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."}}