{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001904093,0.001659624,0.0008019865,0.0009072985,0.0004904921,0.002475451,0.0006483371,0.00112422,0.09992398],"category_scores_gemma":[0.000178239,0.0004484977,0.00036997,0.001311971,0.0007077773,0.001218356,0.0008995005,0.002025778,0.1435376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000876172,"about_ca_system_score_gemma":0.0007821881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925597,"about_ca_topic_score_gemma":0.002262618,"domain_scores_codex":[0.9998362,0.00001115867,0.000007540349,0.0000474882,0.00007635269,0.00002126278],"domain_scores_gemma":[0.9999306,0.00001911964,0.000007302518,0.00001112375,0.0000153921,0.00001648955],"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":[0.0001202999,0.00009261018,0.0001814598,0.0008220648,0.00001307697,0.0002510714,0.0001450563,0.0003326056,0.09630973,0.04834667,0.1481262,0.7052592],"study_design_scores_gemma":[0.000007803177,0.00002523256,0.0002279312,0.0001159457,0.000005042667,0.0001761354,0.00003326618,0.00008164206,0.007180351,0.007005081,0.9851362,0.00000546104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004917788,0.1115449,0.01777581,0.004304484,0.004412652,0.00009275642,0.003407131,0.002732859,0.8508117],"genre_scores_gemma":[0.00881692,0.03223023,0.003647687,0.001015593,0.0004630653,0.00007794756,0.002410172,0.0003155046,0.9510228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09992398,"threshold_uncertainty_score":0.334279,"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."}}