{"id":"W4407482419","doi":"10.1016/j.bej.2025.109674","title":"A model based approach for monitoring Bordetella pertussis fermentation with an inline spectro-fluorescence probe","year":2025,"lang":"en","type":"article","venue":"Biochemical Engineering Journal","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sanofi (Canada); National Research Council Canada; University of Waterloo","funders":"Mitacs; Sanofi","keywords":"Bordetella pertussis; Fermentation; Fluorescence; Microbiology; Chemistry; Biological system; Environmental science; Biochemical engineering; Biology; Biochemistry; Bacteria; Engineering; Physics; Optics","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":[0.0002890735,0.0006543389,0.0004575285,0.0002387176,0.0002190463,0.0005366783,0.0005984871,0.0006686772,0.0006426233],"category_scores_gemma":[0.0003065711,0.0002383273,0.0004732741,0.0001821419,0.0001512962,0.0003996114,0.0003685684,0.0005077138,0.0002438972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194537,"about_ca_system_score_gemma":0.000419128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003386787,"about_ca_topic_score_gemma":0.003186646,"domain_scores_codex":[0.9998261,0.0000440128,0.00000899652,0.00005938535,0.00004849624,0.00001307403],"domain_scores_gemma":[0.9998978,0.00003456823,0.00002357247,0.0000122738,0.00002682317,0.000004848115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002557792,0.000339693,0.00670649,0.0002713728,0.0001215476,0.000149426,0.00009998578,0.7248382,0.2053297,0.002423429,0.0006328728,0.05883157],"study_design_scores_gemma":[0.000003083374,0.0001045421,0.0008151869,0.000002686188,0.0000134198,0.00001882579,0.000006336551,0.9879628,0.0104198,0.0002858983,0.0003588574,0.000008603462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1036248,0.0003223912,0.8927773,0.0001527561,0.00003109797,0.00005932189,0.0002433754,0.0008639904,0.001924862],"genre_scores_gemma":[0.921386,0.0002942799,0.07587994,0.00004579496,0.00001300998,0.0001617183,0.0001923931,0.00002618367,0.002000701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003386787,"threshold_uncertainty_score":0.006734192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286379862301109,"score_gpt":0.248572715185912,"score_spread":0.2357089165629009,"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."}}