{"id":"W2409907720","doi":"","title":"Design and optimization of surfactant based enhanced remediation of bunker C fuel oil contaminated soil","year":2015,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Environmental remediation; Environmental science; Soil contamination; Waste management; Contamination; Remedial action; Underground storage tank; Hazardous waste; Petroleum; Pollution; Fuel oil; Brownfield; Environmental engineering; Engineering; Soil water; Storage tank; Civil engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002323425,0.0003816813,0.0006157124,0.0004071077,0.0002300814,0.0008073871,0.0004693956,0.0005997691,0.0006382485],"category_scores_gemma":[0.0002868899,0.0002044609,0.0004815476,0.0003801438,0.0001818795,0.0003425696,0.0003469401,0.0003971872,0.0003094943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992449,"about_ca_system_score_gemma":0.0004772766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505611,"about_ca_topic_score_gemma":0.003983925,"domain_scores_codex":[0.9997922,0.00002299423,0.00001765148,0.00004150784,0.00008082722,0.00004486074],"domain_scores_gemma":[0.999874,0.00002200885,0.00003146041,0.000004862029,0.00004540537,0.00002225966],"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":[0.0001556172,0.0002022798,0.0003093428,0.0002746363,0.00001463824,0.0001076717,0.00001737803,0.01039641,0.9800009,0.0001771309,0.0000918209,0.008252166],"study_design_scores_gemma":[0.00003781797,0.00118197,0.0009306597,0.00001125478,0.00003524821,0.00004972046,0.00005266673,0.04602869,0.9492906,0.00007014711,0.002292364,0.00001891587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9718779,0.002332816,0.02166348,0.0001862054,0.00005334661,0.0001933018,0.0002239278,0.0001736942,0.003295357],"genre_scores_gemma":[0.9833243,0.002010589,0.01203337,0.00005170331,0.00000768082,0.0001368981,0.0001537938,0.00002524966,0.002256342],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002505611,"threshold_uncertainty_score":0.004982054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058032110946768,"score_gpt":0.2380020727677929,"score_spread":0.2174217516583252,"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."}}