{"id":"W4307649834","doi":"10.1002/cjce.24738","title":"Efficient mineralization of sugar industry wastewater by catalytic wet air oxidation as an eco‐friendly method and its kinetic modelling","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ege University Research Foundation","keywords":"Wet oxidation; Chemistry; Catalysis; Mineralization (soil science); Chemical oxygen demand; Sorption; Catalytic oxidation; Oxide; Oxygen; Kinetics; Wastewater; Inorganic chemistry; Environmental chemistry; Environmental engineering; Organic chemistry; Adsorption; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000184612,0.0003293297,0.0003279799,0.0002348672,0.0001132754,0.0004022273,0.0003137845,0.0004113925,0.0002941559],"category_scores_gemma":[0.0001917031,0.0001662958,0.00053881,0.0002334452,0.0001226513,0.0002804582,0.0001353804,0.000244251,0.000120285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004229947,"about_ca_system_score_gemma":0.0004361914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007614696,"about_ca_topic_score_gemma":0.005751316,"domain_scores_codex":[0.9999088,0.00001186718,0.000006600788,0.00001640314,0.00004295097,0.00001344613],"domain_scores_gemma":[0.9999487,0.00002059083,0.000007877185,0.000004309641,0.00001656241,0.000001961259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001363484,0.0001455421,0.002948434,0.000473255,0.00006052074,0.000237364,0.0000939714,0.3219916,0.6466061,0.001918982,0.0001623853,0.02522549],"study_design_scores_gemma":[0.000007158772,0.00008881457,0.00134333,0.00000433084,0.00001783162,0.00004540927,0.00002524761,0.8255858,0.1719093,0.000244349,0.0007159305,0.00001252076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226309,0.0008548843,0.07410108,0.00006638453,0.00001758576,0.00004380701,0.0001419806,0.0001116413,0.002031715],"genre_scores_gemma":[0.990849,0.0005551057,0.007355812,0.000004292242,0.000002494376,0.00002506838,0.00006545552,0.000008775072,0.001134097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007614696,"threshold_uncertainty_score":0.01514077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007249554615473327,"score_gpt":0.2044174083358594,"score_spread":0.1971678537203861,"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."}}