{"id":"W4309456147","doi":"10.3390/pr10112441","title":"COD Reduction of Aeration Effluent by Utilizing Optimum Quantities of UV/H2O2/O3 in a Small-Scale Reactor","year":2022,"lang":"en","type":"article","venue":"Processes","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Effluent; Aeration; Chemical oxygen demand; Pulp and paper industry; Irradiance; Environmental science; Chemistry; Environmental engineering; Wastewater; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000266087,0.0000626814,0.0001318691,0.00004698455,0.00006395119,0.000009980826,0.000108803,0.00001822084,0.0001034508],"category_scores_gemma":[0.00004509931,0.00006247305,0.00002664768,0.0003545598,0.00006298319,0.0001203213,0.00007637732,0.00006646113,0.000003097069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007298736,"about_ca_system_score_gemma":0.00001416934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912681,"about_ca_topic_score_gemma":0.00005338982,"domain_scores_codex":[0.9992243,0.00005954201,0.0002427855,0.0001623317,0.0002106492,0.0001004057],"domain_scores_gemma":[0.9997122,0.00002539049,0.0001289592,0.00009693696,0.00001790646,0.00001863997],"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":[0.00006822634,0.0005788445,0.1404243,0.0007322196,0.0000231059,8.189305e-7,0.009147568,0.01102584,0.8365973,0.00001962055,0.0005212431,0.0008609098],"study_design_scores_gemma":[0.0001908127,0.0001219688,0.002429271,0.00004452011,0.00002518421,0.00000160251,0.009615988,0.0003097594,0.9862522,0.0002227533,0.0006609511,0.0001249535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991047,0.0002886194,0.00007506872,0.000134546,0.00005596641,0.00006112405,0.00001389879,0.00001378738,0.000252263],"genre_scores_gemma":[0.9991912,0.00006639061,0.0004336738,0.000004307532,0.00001371416,0.00002703613,0.00001948419,0.000005487864,0.0002387305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496549,"threshold_uncertainty_score":0.2891414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763493874025445,"score_gpt":0.2529189960261589,"score_spread":0.2252840572859044,"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."}}