{"id":"W2465709204","doi":"10.1680/jenge.15.00016","title":"Efficiency of sophorolipids for arsenic removal from mine tailings","year":2016,"lang":"en","type":"article","venue":"Environmental Geotechnics","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Arsenic; Environmental remediation; Environmental chemistry; Extraction (chemistry); Groundwater; Environmental science; Hydroxide; Fraction (chemistry); Chemistry; Contamination; Waste management; Mining engineering; Geology; Inorganic chemistry; Chromatography; Geotechnical 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":[0.0002038285,0.0003218585,0.0002099726,0.0001589622,0.0001524183,0.0001799213,0.0001345883,0.0002349747,0.0006362979],"category_scores_gemma":[0.0002655987,0.0001345568,0.0003412915,0.0001090611,0.0001262778,0.0002615768,0.0002420687,0.0002330121,0.0002859473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250881,"about_ca_system_score_gemma":0.0001823494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008014033,"about_ca_topic_score_gemma":0.00206582,"domain_scores_codex":[0.9998475,0.00003752536,0.00001669256,0.00002879697,0.00004520439,0.00002426202],"domain_scores_gemma":[0.999898,0.00001375777,0.00003522627,0.000008697247,0.00003083974,0.00001338403],"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":[0.00006525528,0.000007259034,0.0002037007,0.00004699722,0.000005955422,0.00001580374,0.0000157625,0.00004946387,0.9982388,0.00001110823,0.00001551735,0.001324344],"study_design_scores_gemma":[0.000002296176,0.0002225715,0.001410865,0.000003783589,0.00001208685,0.0000518007,0.00002260285,0.0001702536,0.997224,0.000005855026,0.0008693922,0.000004529667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959279,0.0008448819,0.002086337,0.00004571314,0.00001497552,0.0000193523,0.00009461853,0.00002271748,0.0009434763],"genre_scores_gemma":[0.9928595,0.0009361131,0.003648388,0.00004742884,0.000008038131,0.00001392846,0.0001844925,0.00001608096,0.002286047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008014033,"threshold_uncertainty_score":0.002128661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005685839383940647,"score_gpt":0.1955050225996194,"score_spread":0.1898191832156787,"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."}}