{"id":"W4406562079","doi":"10.1016/j.eti.2025.104033","title":"In situ bio-electrochemical remediation of MTBE-contaminated groundwater at a fuel station in China","year":2025,"lang":"en","type":"article","venue":"Environmental Technology & Innovation","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Environmental remediation; Environmental science; Contamination; Groundwater; Contaminated groundwater; Groundwater remediation; Waste management; China; Environmental engineering; Environmental chemistry; Chemistry; Engineering; Geography; Ecology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002670429,0.0001418034,0.0001650617,0.0006110318,0.00003425556,0.0000048753,0.0001458786,0.000286431,0.0004581222],"category_scores_gemma":[0.00003807173,0.0001481674,0.00001978993,0.001834667,0.0002093875,0.0002332881,0.0001676966,0.0002094004,0.00005752638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110512,"about_ca_system_score_gemma":0.00000732028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158357,"about_ca_topic_score_gemma":0.0006176605,"domain_scores_codex":[0.9986899,0.00003421414,0.0005412649,0.0003376027,0.0001658672,0.0002310865],"domain_scores_gemma":[0.9996126,0.00001504729,0.0001871287,0.0001710542,0.000004036719,0.00001007696],"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":[0.00004145482,0.0001774234,0.2296654,0.00001117367,0.000003096834,0.000001707441,0.0001349098,0.00001004447,0.7671887,0.0002128089,0.0001211061,0.00243214],"study_design_scores_gemma":[0.0006784974,0.000068842,0.2199483,0.00001540318,0.000004478751,0.000001665068,0.00005852461,0.00007518026,0.7747622,0.003867248,0.0004122868,0.0001074553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974216,0.000040084,0.0002936207,0.0009220871,0.00008378442,0.0003689528,0.000003611827,0.00002847267,0.000837801],"genre_scores_gemma":[0.9987858,0.00007631997,0.000361675,0.0001460013,0.000008106379,0.0000359562,0.0002871131,0.000008597976,0.0002904598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00971714,"threshold_uncertainty_score":0.6042093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002729294242599762,"score_gpt":0.195928965425947,"score_spread":0.1931996711833472,"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."}}