{"id":"W2054962791","doi":"10.1081/ese-100105728","title":"HUMIC ACIDS ENHANCED REMOVAL OF AROMATIC HYDROCARBONS FROM CONTAMINATED AQUIFERS: DEVELOPING A SUSTAINABLE TECHNOLOGY","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Environment and Climate Change Canada","funders":"U.S. Environmental Protection Agency","keywords":"Environmental remediation; Aquifer; Diesel fuel; Gasoline; Groundwater; Environmental science; Groundwater remediation; Contamination; Environmental chemistry; Waste management; Environmental engineering; Chemistry; Geology; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002212069,0.0002228862,0.0002230129,0.000294823,0.000196142,0.0003795209,0.0001579942,0.0003317179,0.0004198528],"category_scores_gemma":[0.0001813289,0.0001000509,0.000146152,0.0002074989,0.0001966137,0.0002899125,0.0002522233,0.0001551493,0.0001272174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916497,"about_ca_system_score_gemma":0.0005530645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599103,"about_ca_topic_score_gemma":0.003467532,"domain_scores_codex":[0.9998986,0.00002493439,0.000006962209,0.00001349475,0.00003766485,0.00001842053],"domain_scores_gemma":[0.9999489,0.000008998662,0.000009426417,0.000003310233,0.00001742217,0.00001204146],"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":[0.00003991838,0.00004127769,0.0004355577,0.0000853497,0.000004694775,0.0000344284,0.00001591676,0.0006318053,0.9902176,0.0001097851,0.00002720816,0.008356394],"study_design_scores_gemma":[0.00001403851,0.0003332438,0.002576339,0.000009856569,0.0000135201,0.00009910138,0.00005436956,0.002220836,0.9916143,0.0001411905,0.002917956,0.00000531541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987488,0.002081163,0.008894633,0.0002042315,0.00001203469,0.00004929701,0.00008478503,0.00006725379,0.001118723],"genre_scores_gemma":[0.981365,0.00282487,0.01376331,0.00005185455,0.000007126666,0.00003510636,0.0001104288,0.000007116621,0.001835235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001599103,"threshold_uncertainty_score":0.003179669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130945931738611,"score_gpt":0.25860388112926,"score_spread":0.2472944218118739,"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."}}