{"id":"W2368578541","doi":"","title":"Feasibility of rapid treatment of BTEX in groundwater by Fenton’s reagent","year":2010,"lang":"en","type":"article","venue":"Shuiwen dizhi gongcheng dizhi","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"BTEX; Reagent; Benzene; Chemistry; Toluene; Oxidizing agent; Environmental chemistry; Molar ratio; Fenton's reagent; Groundwater; Inorganic chemistry; Xylene; Nuclear chemistry; Organic chemistry; Hydrogen peroxide; Fenton reaction; Catalysis; Geology","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":[0.0004105031,0.0004175476,0.0002467922,0.0002211613,0.0001899507,0.0003008454,0.0002688666,0.0006021635,0.0006869],"category_scores_gemma":[0.0003075398,0.0002371943,0.0002994764,0.0001641419,0.0002535661,0.0004562502,0.0002509981,0.0003491605,0.0002412724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706605,"about_ca_system_score_gemma":0.000278842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691608,"about_ca_topic_score_gemma":0.002091492,"domain_scores_codex":[0.9996903,0.0000544133,0.0000147858,0.00005251423,0.000134562,0.00005344672],"domain_scores_gemma":[0.9999264,0.00001769447,0.0000138667,0.00000538632,0.00002753636,0.000009139817],"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":[0.00007715744,0.00001367699,0.0002734079,0.00006834076,0.000003283708,0.00004828136,0.00001897211,0.0001236775,0.9957663,0.00006576542,0.00004946102,0.003491655],"study_design_scores_gemma":[0.00002157453,0.0004939329,0.001645474,0.000006226172,0.00001657767,0.0001431713,0.00004901066,0.001781353,0.9940656,0.00008714967,0.001679141,0.00001071823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727978,0.003510561,0.02075447,0.000457419,0.00007565195,0.00007122204,0.0001528794,0.000156965,0.002023125],"genre_scores_gemma":[0.9872979,0.001305726,0.009481918,0.00006076957,0.00001321515,0.00002859941,0.0001449548,0.00001184603,0.001655101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001691608,"threshold_uncertainty_score":0.00336349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628415754083915,"score_gpt":0.2773766673586958,"score_spread":0.2510925098178567,"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."}}