{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005281203,0.0001015692,0.0001487233,0.00002520966,0.00003060647,0.00001353902,0.0001319275,0.00004602364,0.0002678368],"category_scores_gemma":[0.00003312443,0.00006949145,0.00005140331,0.0001004406,0.00006617983,0.0001154618,0.00001402363,0.0001064804,0.000009495395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115645,"about_ca_system_score_gemma":0.00006480725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085439,"about_ca_topic_score_gemma":0.00002845,"domain_scores_codex":[0.9993025,0.00001527087,0.0002619598,0.00007951839,0.0001591298,0.0001816206],"domain_scores_gemma":[0.9994123,0.00002840307,0.00008869616,0.00007231998,0.000009442236,0.000388857],"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":[0.00003012554,0.0000117654,0.001099731,0.000002852262,0.00003337526,0.00002717752,0.0006256299,0.06973728,0.9273109,0.00002062433,0.00003523944,0.001065249],"study_design_scores_gemma":[0.0007899696,0.00009432563,0.00009141315,0.00001058838,0.00005715739,0.00005861373,0.00001853084,0.01510135,0.9810085,0.0000116289,0.002673514,0.00008437903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986701,0.00002122861,0.0002783992,0.0008214209,0.00007065153,0.00007899204,0.000006482408,0.000004929725,0.00004782077],"genre_scores_gemma":[0.9985012,0.000003320836,0.001283636,0.00002982333,0.0001605895,0.000001026995,0.000003467628,0.00001165518,0.000005222275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05463592,"threshold_uncertainty_score":0.2932625,"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."}}