{"id":"W3162705763","doi":"10.1515/cppm-2020-0118","title":"Kinetic modeling of biosurfactant production by <i>Bacillus subtilis</i> N3-1P using brewery waste","year":2021,"lang":"en","type":"article","venue":"Chemical Product and Process Modeling","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Petroleum Research Newfoundland and Labrador","keywords":"Bacillus subtilis; Bioprocess; Biomass (ecology); Substrate (aquarium); Industrial and production engineering; Pulp and paper industry; Design–Expert; Production (economics); Batch production; Environmental science; Food science; Biochemical engineering; Chemistry; Mathematics; Biotechnology; Waste management; Response surface methodology; Engineering; Bacteria; Chromatography; Biology; Chemical engineering; Mechanical engineering","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":[0.0002110321,0.000585517,0.000431656,0.0002573733,0.0002700499,0.0006086972,0.0004283027,0.0006863984,0.0006094408],"category_scores_gemma":[0.0002532778,0.000234512,0.0007207243,0.0003353799,0.0001794576,0.000308666,0.0002415338,0.0003423406,0.0002635527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007327753,"about_ca_system_score_gemma":0.0005312352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990513,"about_ca_topic_score_gemma":0.006858865,"domain_scores_codex":[0.9999088,0.00001871774,0.000009582845,0.00001975668,0.00002634547,0.00001688151],"domain_scores_gemma":[0.9999044,0.00004458851,0.00001980586,0.000004457217,0.00002266322,0.000004132544],"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":[0.0001262833,0.00007659398,0.001998688,0.0001660004,0.00002315036,0.0001778949,0.00004201465,0.9330823,0.05946034,0.0007058278,0.0001153567,0.0040256],"study_design_scores_gemma":[0.000005681589,0.00004296055,0.000417963,0.000004298073,0.000005449241,0.00001447537,0.000009681794,0.9853286,0.01389103,0.00007450868,0.0001990496,0.000006311989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396863,0.0005999249,0.05313563,0.000136967,0.00001727351,0.00006429533,0.0004492594,0.0001957231,0.005714708],"genre_scores_gemma":[0.9936516,0.0004618723,0.003821359,0.000009823658,0.000001778361,0.00006733931,0.0002013113,0.00001334341,0.001771603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01990513,"threshold_uncertainty_score":0.0395785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958925697606909,"score_gpt":0.2290683430808189,"score_spread":0.2094790861047498,"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."}}