{"id":"W4386056744","doi":"10.1016/j.scitotenv.2023.166428","title":"Optimization and purification of bioproducts from Bacillus velezensis PhCL fermentation and their potential on industrial application and bioremediation","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Bioremediation; Chemistry; Bioproducts; Fermentation; Bioproduction; Downstream processing; Chromatography; Ammonium sulfate precipitation; Bioconversion; Organic chemistry; Bacteria; Biochemistry; Enzyme; Biofuel; Biotechnology; Biology","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":[0.0003436469,0.0005530434,0.0003472723,0.0003678958,0.0001916779,0.0006052151,0.0002236826,0.0002824934,0.0006213443],"category_scores_gemma":[0.000565537,0.0001646184,0.0004077363,0.0006269472,0.0002013635,0.0003540711,0.0003092445,0.0005575141,0.0002743356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857382,"about_ca_system_score_gemma":0.0004015029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611334,"about_ca_topic_score_gemma":0.002643937,"domain_scores_codex":[0.9996624,0.00007576954,0.00004665903,0.00003965494,0.0001140669,0.00006137866],"domain_scores_gemma":[0.9998617,0.00002694851,0.00003013404,0.00001409063,0.00004574405,0.00002129969],"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":[0.0001932233,0.0001163719,0.0003742685,0.00008055651,0.00001115372,0.0000491415,0.00002279606,0.0005500378,0.9927217,0.00004081498,0.00003107027,0.005808779],"study_design_scores_gemma":[0.000007693104,0.0002395598,0.002179879,0.00001031233,0.00001829359,0.00005265723,0.00004603159,0.0006266006,0.9958093,0.00002207282,0.0009813017,0.000006316562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936167,0.001215633,0.003831005,0.0001025187,0.00001987206,0.00003933693,0.0003327442,0.00004594206,0.0007963664],"genre_scores_gemma":[0.9913421,0.0009011731,0.005300973,0.00003669033,0.000007758749,0.00003273938,0.0008829366,0.00002703533,0.001468578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001611334,"threshold_uncertainty_score":0.003203928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234709389323674,"score_gpt":0.1886555336061063,"score_spread":0.1763084397128696,"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."}}