{"id":"W2001918432","doi":"10.1016/s0043-1354(00)00330-4","title":"Ozonation of aqueous azo dye in a semi-batch reactor","year":2001,"lang":"en","type":"article","venue":"Water Research","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ozone; Chemistry; Reaction rate constant; Wastewater; Aqueous solution; Biodegradation; Mass transfer coefficient; Mass transfer; Batch reactor; Chemical oxygen demand; Oxygen; Reactive dye; Reaction rate; Kinetics; Environmental chemistry; Chromatography; Environmental engineering; Organic chemistry; Environmental science; Dyeing; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002304173,0.0002608334,0.0003483231,0.0001287877,0.0001860273,0.0003483735,0.000390946,0.0002757309,0.0007151507],"category_scores_gemma":[0.0001919409,0.0001500709,0.0002190296,0.000128289,0.0001646246,0.0003123352,0.000177428,0.0004530743,0.0002695403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003600537,"about_ca_system_score_gemma":0.0003645178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441498,"about_ca_topic_score_gemma":0.003182839,"domain_scores_codex":[0.9998696,0.0000147218,0.00001459957,0.0000262508,0.00004744963,0.00002742225],"domain_scores_gemma":[0.9999108,0.00003290761,0.00001224314,0.00001056882,0.00001726003,0.00001609816],"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":[0.0003049854,0.00002191472,0.0001605178,0.00003703755,0.000004506313,0.00002723082,0.00001262557,0.0002820113,0.997764,0.00004956418,0.00002559282,0.001310028],"study_design_scores_gemma":[0.0000205733,0.0002776222,0.001186473,0.000002035153,0.00001010784,0.00003219367,0.00001807611,0.003733189,0.9944354,0.00002683551,0.0002520685,0.000005334646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970331,0.0001858338,0.002218527,0.00002721129,0.00001954617,0.00000997119,0.00008242024,0.000037691,0.0003858362],"genre_scores_gemma":[0.9971854,0.0001702773,0.001615574,0.000006224252,0.000004857972,0.000005795674,0.00008929321,0.00000752403,0.0009149953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441498,"threshold_uncertainty_score":0.00485462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529891293310891,"score_gpt":0.3485575409456422,"score_spread":0.2955684116145531,"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."}}