{"id":"W4210854866","doi":"10.1016/j.envres.2022.112926","title":"Surfactant-aided mycoremediation of soil contaminated with polycyclic aromatic hydrocarbons","year":2022,"lang":"en","type":"article","venue":"Environmental Research","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; All India Council for Technical Education; Université de Sherbrooke","keywords":"Environmental remediation; Bioaugmentation; Microcosm; Environmental chemistry; Acenaphthene; Soil contamination; Bioremediation; Ecotoxicity; Contamination; Phenanthrene; Chemistry; Degradation (telecommunications); Biodegradation; Environmental science; Naphthalene; Polycyclic aromatic hydrocarbon; Soil water; Biology; Organic chemistry; Soil science; Ecology","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":[0.0001749713,0.0003006089,0.0002716333,0.0002886689,0.0001443727,0.0004164748,0.000225849,0.0003575619,0.0008215882],"category_scores_gemma":[0.0002837897,0.0001337313,0.0002557191,0.0002275214,0.0001234632,0.0002000425,0.0003078299,0.000264769,0.0002809337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017599,"about_ca_system_score_gemma":0.0004401191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966876,"about_ca_topic_score_gemma":0.006336882,"domain_scores_codex":[0.999872,0.00001787413,0.00001158429,0.00001973923,0.00003728613,0.00004151776],"domain_scores_gemma":[0.9999099,0.00001997768,0.00001606327,0.000006435785,0.00003017153,0.00001748796],"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":[0.0001227295,0.00001917885,0.0001143078,0.00003594523,0.000005812275,0.00002543787,0.00001822874,0.0001346819,0.9966684,0.0000270085,0.00002444622,0.00280387],"study_design_scores_gemma":[0.000006754772,0.000122633,0.0006604314,0.0000046151,0.000009086843,0.00002420913,0.00001873081,0.0007570933,0.9977659,0.000008238517,0.0006189545,0.000003408668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963898,0.0008227301,0.001594284,0.00004406159,0.00003639381,0.00001725079,0.0001062467,0.00003333215,0.0009559919],"genre_scores_gemma":[0.995255,0.0007039912,0.001945043,0.00002264567,0.000007991986,0.000008709835,0.0001187888,0.00001431052,0.00192353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966876,"threshold_uncertainty_score":0.003910899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878596823315579,"score_gpt":0.2523601567061374,"score_spread":0.2335741884729816,"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."}}