{"id":"W2090273838","doi":"10.1016/j.chemosphere.2006.12.040","title":"Removal of dinitrotoluenes from water via reduction with iron and peroxidase-catalyzed oxidative polymerization: A comparison between Arthromyces ramosus peroxidase and soybean peroxidase","year":2007,"lang":"en","type":"article","venue":"Chemosphere","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peroxidase; Chemistry; Hydrogen peroxide; PEG ratio; Polyethylene glycol; Substrate (aquarium); Nuclear chemistry; Polymerization; Enzyme; Catalysis; Chromatography; Biochemistry; Organic chemistry; Polymer; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001688437,0.0003387656,0.000495588,0.00003766139,0.0001041508,0.0000518315,0.00009691107,0.0001632772,0.0001959338],"category_scores_gemma":[0.0000125681,0.0002768505,0.00003536229,0.0001156732,0.000320006,0.0003740243,0.00006054201,0.0001198042,0.00001223456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007303365,"about_ca_system_score_gemma":0.000006493222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007028079,"about_ca_topic_score_gemma":0.0000133085,"domain_scores_codex":[0.998468,0.00003175162,0.0005216,0.0003875981,0.0002653785,0.0003256392],"domain_scores_gemma":[0.9992979,0.00007778814,0.0001437208,0.00026628,0.0000302141,0.0001840926],"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":[0.0001499198,0.0000475447,0.01600186,0.0001173929,0.00008393357,0.00001519051,0.001833131,0.00007902641,0.9769496,0.000002159698,0.00001347609,0.004706773],"study_design_scores_gemma":[0.001408597,0.00009479164,0.03124797,0.00008121205,0.00009483742,0.00003280849,0.001289386,0.0002378988,0.965036,0.00003438127,0.0001060519,0.0003360883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956035,0.0008337461,0.002634847,0.0000625852,0.00009450105,0.0004485527,0.00004425389,0.000137058,0.000140945],"genre_scores_gemma":[0.9942312,0.00005089917,0.005029402,0.00001218855,0.0001742947,0.00001950516,0.0003710245,0.00006549819,0.00004603394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524611,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007522284934728131,"score_gpt":0.2073422973804302,"score_spread":0.1998200124457021,"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."}}