{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661751,0.0002206591,0.0002709674,0.00002535584,0.000100327,0.00003516389,0.0001402228,0.0001035799,0.0001207773],"category_scores_gemma":[0.0001827926,0.0002018061,0.00005120072,0.000371478,0.0001235636,0.0002787243,0.0001416771,0.000186818,0.000006609865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005964515,"about_ca_system_score_gemma":0.00004458306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005527594,"about_ca_topic_score_gemma":0.00000367047,"domain_scores_codex":[0.9981078,0.00002917952,0.0004675206,0.0007288191,0.0003448057,0.0003218691],"domain_scores_gemma":[0.9993896,0.000009070578,0.0001183702,0.0002494794,0.0001106882,0.0001227522],"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":[0.00003345191,0.00007202972,0.0004365619,0.0001314321,0.000007739704,9.630763e-7,0.0002842139,0.08550678,0.9121923,6.451698e-7,0.00008179759,0.001252016],"study_design_scores_gemma":[0.0001333337,0.000006450253,7.82868e-7,0.0000446924,0.0000199351,0.00001189678,0.00012009,0.3926504,0.6066998,0.0001102362,0.00003148967,0.0001709463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961786,0.001155777,0.001737857,0.0003252968,0.0001705607,0.0001800178,0.00001704662,0.00003706726,0.0001978353],"genre_scores_gemma":[0.998057,0.000227601,0.001388041,0.00008725518,0.0001189522,0.000002238089,0.00004096783,0.00002234187,0.00005556599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3071436,"threshold_uncertainty_score":0.8229416,"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."}}