{"id":"W2048867989","doi":"10.1111/j.1745-6592.2002.tb00656.x","title":"Ethanol‐Stimulated Bioremediation of Nitrate‐Contaminated Ground Water","year":2002,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Natural Sciences and Engineering Research Council of Canada; University of Waterloo","funders":"","keywords":"Denitrifying bacteria; Denitrification; Nitrate; Bioremediation; Environmental science; Environmental chemistry; Carbon source; Aquifer; Contamination; Environmental engineering; Bioreactor; Plume; Groundwater; Chemistry; Nitrogen; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002681012,0.0002754754,0.0002481395,0.0001333578,0.0001490446,0.00006294851,0.0002112705,0.00017825,0.001057604],"category_scores_gemma":[0.00001652492,0.0002066671,0.00009903367,0.0002770986,0.0001067137,0.0007041518,0.00009880391,0.0001427652,0.001134783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024768,"about_ca_system_score_gemma":0.000002889396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005311082,"about_ca_topic_score_gemma":0.00001330425,"domain_scores_codex":[0.9979178,0.0001019482,0.0004922392,0.0004028635,0.0005916302,0.0004934965],"domain_scores_gemma":[0.9993519,0.0000374855,0.0001491232,0.0003002162,0.00004421597,0.0001170833],"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":[0.00003300262,0.0002020471,0.1183959,0.00001517815,0.00004712759,0.00001331363,0.002403084,0.0002365457,0.8741428,0.000002324578,0.00008018598,0.004428508],"study_design_scores_gemma":[0.0009647479,0.0001981665,0.06914176,0.00002004384,0.00007013558,0.00000741816,0.00007167093,0.001308242,0.9275098,0.0001381758,0.0003034121,0.0002663968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978752,0.00005512017,0.0001655323,0.0001221678,0.0009088306,0.0003214806,0.000002566052,0.000128422,0.0004207124],"genre_scores_gemma":[0.9969543,0.00004498079,0.001267303,0.00001116012,0.0003421759,0.00003009365,0.0001003703,0.00003700556,0.001212676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05336706,"threshold_uncertainty_score":0.9998556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087250963151116,"score_gpt":0.2166393527506417,"score_spread":0.1957668431191305,"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."}}