{"id":"W3149289552","doi":"10.3390/catal11040456","title":"Multi-Scale Biosurfactant Production by Bacillus subtilis Using Tuna Fish Waste as Substrate","year":2021,"lang":"en","type":"article","venue":"Catalysts","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; United Nations Development Programme","keywords":"Surfactin; Bacillus subtilis; Food science; Substrate (aquarium); Chemistry; Tuna; Pulp and paper industry; Fish <Actinopterygii>; Biotechnology; Biology; Bacteria; Fishery; Ecology; 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":[0.000281602,0.0007347777,0.0006294622,0.0002662894,0.0002091585,0.0005374241,0.000270572,0.0004143363,0.0002980363],"category_scores_gemma":[0.0001974782,0.0001956336,0.0004404463,0.0003977536,0.0001594124,0.0003878951,0.0005490143,0.000493633,0.0002492014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423939,"about_ca_system_score_gemma":0.0002876862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250725,"about_ca_topic_score_gemma":0.00179363,"domain_scores_codex":[0.9997438,0.00004524982,0.00003680841,0.00005459023,0.00007977875,0.00003987441],"domain_scores_gemma":[0.9999335,0.00001119639,0.00001847924,0.000007652608,0.00001212296,0.00001700372],"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":[0.00006644073,0.00003844495,0.0001795714,0.00003502359,0.000004502471,0.00003536243,0.000008747794,0.000134144,0.9984491,0.00001072246,0.000006462274,0.001031477],"study_design_scores_gemma":[0.000009949176,0.0003447332,0.001388827,0.000007933188,0.00001411272,0.00006949026,0.00002174182,0.001267264,0.9965802,0.00001100727,0.0002776585,0.000007160979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959244,0.0005543156,0.002805449,0.00005570614,0.00001270065,0.00004046494,0.0001401196,0.00005171657,0.0004152079],"genre_scores_gemma":[0.9895207,0.0007827946,0.00859939,0.00001803879,0.000004419443,0.00004472266,0.0003992537,0.00001879902,0.0006118196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250725,"threshold_uncertainty_score":0.002486944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784981573457577,"score_gpt":0.2338505721386661,"score_spread":0.2160007564040904,"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."}}