{"id":"W2138978887","doi":"10.1002/jctb.2109","title":"Comparison of soybean peroxidase with laccase in the removal of phenol from synthetic and refinery wastewater samples","year":2008,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Laccase; Phenol; Chemistry; Wastewater; Phenols; Refinery; Peroxidase; Chromatography; Tap water; Cyanide; Aqueous solution; Polyethylene glycol; Nuclear chemistry; Organic chemistry; Enzyme; Waste management; Environmental engineering; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002276359,0.0001539549,0.0005503412,0.0001488274,0.00003812771,0.000004042734,0.0005434397,0.0006496044,0.00002044944],"category_scores_gemma":[0.0003177569,0.00005491915,0.00006379668,0.000663968,0.00115954,0.00006561253,0.0001006297,0.0006840178,9.742674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000200595,"about_ca_system_score_gemma":0.00001522388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000062026,"about_ca_topic_score_gemma":0.00004669754,"domain_scores_codex":[0.998636,0.00006060984,0.0006632832,0.0002041461,0.000220532,0.0002153997],"domain_scores_gemma":[0.9988057,0.0003294664,0.0005850277,0.000148496,0.00009976295,0.00003156875],"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":[0.000139339,0.0002374795,0.009261916,0.000006171045,0.00002624623,0.0001169273,0.0001097697,6.60146e-7,0.9771584,0.0004168405,0.00005411812,0.01247211],"study_design_scores_gemma":[0.0004513132,0.0006832853,0.002718439,0.00007788729,0.00003606674,0.001262522,0.001349961,0.00001925923,0.9909158,0.001706704,0.0006753649,0.0001033769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902147,0.001103763,0.00000883337,0.008480869,0.00002523983,0.00009641743,0.0000169014,0.00003386928,0.00001939457],"genre_scores_gemma":[0.9972278,0.0001558842,0.002530576,0.00003511753,0.00003419518,0.000002890842,0.000009156654,0.000001971694,0.000002435272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375739,"threshold_uncertainty_score":0.5010344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552033820201654,"score_gpt":0.2365476261678757,"score_spread":0.2110272879658591,"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."}}