{"id":"W3103371011","doi":"10.1002/cjce.23941","title":"Treatment of real industrial pharmaceutical wastewater using wet peroxide oxidation","year":2020,"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":"Science and Engineering Research Board","keywords":"Wastewater; Effluent; Response surface methodology; Chemical oxygen demand; Chemistry; Box–Behnken design; Mineralization (soil science); Biodegradation; Pulp and paper industry; Peroxide; Biochemical oxygen demand; Degradation (telecommunications); Chromatography; Environmental engineering; Environmental science; Organic chemistry; Nitrogen","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":[0.0003217477,0.0003189986,0.0003916036,0.0001356553,0.0001885812,0.000347317,0.0002566509,0.0003178777,0.0005398992],"category_scores_gemma":[0.0002364571,0.0001399816,0.0004734195,0.0002878463,0.0001579342,0.0001980486,0.0001942739,0.0003600307,0.000179433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873868,"about_ca_system_score_gemma":0.0002480165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445222,"about_ca_topic_score_gemma":0.001811051,"domain_scores_codex":[0.999772,0.00003894086,0.00001990939,0.00004896507,0.00009048652,0.00002973532],"domain_scores_gemma":[0.9999248,0.00002262054,0.00002306691,0.000006205236,0.00001844392,0.000004772908],"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":[0.0001334911,0.00007706503,0.0006618193,0.0002034083,0.0000113158,0.00004375291,0.0000264655,0.001024297,0.9936123,0.00002648542,0.00003057703,0.004148867],"study_design_scores_gemma":[0.00001562189,0.0006898475,0.002950279,0.000005496052,0.00002228588,0.00004059527,0.00002696823,0.004105832,0.9916356,0.00002437411,0.0004776707,0.000005451348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950265,0.0003485592,0.003930593,0.00003007117,0.00001193516,0.00004130227,0.0001101637,0.00003612222,0.0004646749],"genre_scores_gemma":[0.9938837,0.0004401503,0.004858159,0.00001690088,0.000003837479,0.0000279187,0.0001393927,0.000006556998,0.0006234247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001445222,"threshold_uncertainty_score":0.002873659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674587892130747,"score_gpt":0.246866075270285,"score_spread":0.2001201963489776,"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."}}