{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001921378,0.0001925687,0.0001772071,0.00002355444,0.0001553669,0.00006319216,0.0001659632,0.00011326,0.001499394],"category_scores_gemma":[0.00007587994,0.000182344,0.00007712509,0.0004447595,0.0001488526,0.0002891536,0.0001269064,0.0001201497,0.000965203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105914,"about_ca_system_score_gemma":0.00004321549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003446794,"about_ca_topic_score_gemma":0.0009855429,"domain_scores_codex":[0.9984223,0.0000628056,0.0002894764,0.0005818426,0.0003005636,0.0003429633],"domain_scores_gemma":[0.9992906,0.000009566929,0.0001208835,0.0003694445,0.0000340217,0.0001754123],"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":[0.000009502452,0.0001002331,0.00919665,0.000008771765,0.000009676355,0.00001895094,0.0002290383,0.00005022961,0.9818383,1.361626e-7,0.007739023,0.0007994217],"study_design_scores_gemma":[0.0002819409,0.00001444933,0.008249887,0.00001426428,0.00002063488,0.00005149311,0.0002290176,0.0004596828,0.9845886,0.000002689303,0.005834764,0.0002526345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978519,0.00007436788,0.00002772992,0.0004894835,0.0005498686,0.0001779291,0.0001291493,0.00005366518,0.0006458986],"genre_scores_gemma":[0.9952771,0.00006129571,0.0008535256,0.0003006008,0.00005623325,0.000001971006,0.0002778551,0.00001912946,0.003152308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002750176,"threshold_uncertainty_score":0.9998127,"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."}}