{"id":"W4233989645","doi":"10.1016/b978-0-12-819460-7.00053-0","title":"Transcription | Sigma Factors","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sigma; Transcription (linguistics); Six Sigma; Sigma factor; Biology; Genetics; Chemistry; Promoter; Physics; Gene; Philosophy; Gene expression; Linguistics; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000603665,0.0003889061,0.0003272825,0.00004168056,0.00007292387,0.0000420353,0.0002554098,0.0004257626,0.0000753214],"category_scores_gemma":[0.000009592004,0.0003452595,0.0003244012,0.000006023419,0.00004451399,0.000002559387,0.00009154773,0.0002520449,0.00005322354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001534748,"about_ca_system_score_gemma":0.00006801153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.995136e-7,"about_ca_topic_score_gemma":0.000003512541,"domain_scores_codex":[0.9989481,0.00000929213,0.000371002,0.0003275263,0.0001545353,0.0001895694],"domain_scores_gemma":[0.9992623,0.000003767158,0.0001680218,0.0004135153,0.00004899885,0.0001034071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007831919,0.00001265426,0.00001299552,0.0002637648,0.0004549398,0.000004648795,0.0003754469,0.000003884911,0.03634871,0.003608438,0.001853309,0.9569829],"study_design_scores_gemma":[0.0002434772,0.0001989672,0.00001797194,0.00005041601,0.00008550488,0.000006650113,0.00002604412,0.0000113487,0.006039619,0.0006714675,0.9922395,0.0004089838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009301726,0.001431075,0.00005118467,0.00005893937,0.0002280152,0.0003465053,0.00006628183,0.00002647863,0.9968613],"genre_scores_gemma":[0.02971429,0.000287747,0.0002023617,0.0003849824,0.000411336,0.00001390789,0.0008165618,0.00009936723,0.9680694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9903862,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934855234048559,"score_gpt":0.2149805468217984,"score_spread":0.1956319944813128,"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."}}