{"id":"W2470775506","doi":"10.2175/106143002x140017","title":"Removal of Nitroaromatics from Synthetic Wastewater Using Two‐Step Zero‐Valent Iron Reduction and Peroxidase‐Catalyzed Oxidative Polymerization","year":2002,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Chemistry; Hydrogen peroxide; Wastewater; Zerovalent iron; Catalysis; Substrate (aquarium); Alum; Peroxidase; Chromatography; Nuclear chemistry; Inorganic chemistry; Organic chemistry; Environmental engineering; Adsorption; Enzyme","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":[0.0003406389,0.0005282683,0.0002911385,0.0002312195,0.0001396707,0.000356391,0.0003708371,0.0004921174,0.0002804761],"category_scores_gemma":[0.0002608126,0.0002129113,0.0003836473,0.0001466543,0.000268894,0.0003570823,0.0003075662,0.0004343304,0.0001562458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974572,"about_ca_system_score_gemma":0.0003393267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008225012,"about_ca_topic_score_gemma":0.001365099,"domain_scores_codex":[0.99976,0.00004583987,0.00001501675,0.00004599647,0.00009528045,0.00003799882],"domain_scores_gemma":[0.9999181,0.00002009575,0.00002668767,0.000008064632,0.00001385415,0.00001315921],"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":[0.0000299095,0.00003851627,0.0001261541,0.00004490902,0.000004860393,0.0000153725,0.00001076021,0.000124625,0.9969349,0.00004170266,0.00001074371,0.002617605],"study_design_scores_gemma":[0.00001136619,0.0001975586,0.0008365856,0.000002338659,0.000006840422,0.00009447632,0.000009100218,0.001172974,0.9971726,0.0000354424,0.0004546035,0.000005888967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840596,0.0008045911,0.01425809,0.00009074922,0.00001469317,0.00005127942,0.00003962816,0.00005630267,0.000625163],"genre_scores_gemma":[0.9692659,0.0009120145,0.0267298,0.00004211987,0.000006998381,0.00004402248,0.0001933744,0.00001685247,0.002788972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008225012,"threshold_uncertainty_score":0.002883792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178133584643006,"score_gpt":0.2489158676881018,"score_spread":0.2171345318416718,"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."}}