{"id":"W3007282137","doi":"","title":"Advancement of biosurfactant production and biosurfactant-aided pollution remediation","year":2018,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Surfactin; Environmental remediation; Bioremediation; Environmentally friendly; Waste management; Biodegradation; Lipopeptide; Environmental pollution; Environmental science; Petroleum; Contamination; Chemistry; Pulp and paper industry; Engineering; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452329,0.0007563093,0.0003852531,0.000583586,0.0001486928,0.0005524621,0.0004456248,0.0008161106,0.0004857999],"category_scores_gemma":[0.0004015371,0.0001916222,0.000596822,0.0007490141,0.0003778386,0.0007405663,0.0006269048,0.0007226528,0.0003639738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004836346,"about_ca_system_score_gemma":0.0003950538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006098075,"about_ca_topic_score_gemma":0.000579728,"domain_scores_codex":[0.9996506,0.00006114121,0.00003046904,0.00007198646,0.0001396905,0.00004607946],"domain_scores_gemma":[0.9997994,0.00003643945,0.00006633007,0.00002142332,0.00005820564,0.00001817019],"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":[0.00005680863,0.0000689003,0.0004153405,0.0007824302,0.00002429929,0.0001578492,0.00003883104,0.0008850328,0.9556961,0.001967513,0.0001784518,0.03972839],"study_design_scores_gemma":[0.00001113906,0.0003873572,0.001578731,0.0000476132,0.00004483909,0.0004265817,0.00003900304,0.004559857,0.9744678,0.0005638605,0.01784968,0.00002354728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7069254,0.1324883,0.1430955,0.00216125,0.0003147458,0.0002183859,0.0006417923,0.0004896985,0.01366494],"genre_scores_gemma":[0.8899803,0.06261617,0.04283098,0.0002927001,0.00009338304,0.0001127384,0.0005651555,0.00003550016,0.003473118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008161106,"threshold_uncertainty_score":0.003508985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813900781344131,"score_gpt":0.2449910390814282,"score_spread":0.2268520312679869,"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."}}