{"id":"W4307633021","doi":"10.3390/environments9110135","title":"Water Purification and Electrochemical Oxidation: Meeting Different Targets with BDD and MMO Anodes","year":2022,"lang":"en","type":"article","venue":"Environments","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolysis; Chemical oxygen demand; Electrochemistry; Chemistry; Degradation (telecommunications); Alkalinity; Anode; Electrode; Bulk electrolysis; Cathode; Organic matter; Water treatment; Environmental chemistry; Wastewater; Environmental engineering; Cyclic voltammetry; Organic chemistry; Environmental science","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":[0.0003912475,0.0006756023,0.0004608659,0.0003770018,0.0002284407,0.0009630609,0.0005207026,0.0008588503,0.0008253913],"category_scores_gemma":[0.0004886704,0.0002709621,0.0003894869,0.000357758,0.000201032,0.0006901546,0.0005547482,0.0004268363,0.0004130797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174367,"about_ca_system_score_gemma":0.000233344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005698913,"about_ca_topic_score_gemma":0.001343682,"domain_scores_codex":[0.999525,0.00006105126,0.00005283627,0.0001041655,0.0001866934,0.00007037976],"domain_scores_gemma":[0.9998842,0.00002568965,0.00001807043,0.00001010538,0.00004557347,0.00001632185],"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":[0.00007243817,0.00002479626,0.000467833,0.000178157,0.00001150526,0.0000347851,0.00002137981,0.0001030093,0.9897785,0.000150107,0.00006827649,0.009089197],"study_design_scores_gemma":[0.00001263774,0.0001409039,0.002063495,0.00001728437,0.00002636442,0.0001487345,0.00006897678,0.00141507,0.9904896,0.0001535521,0.005452469,0.00001099695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373001,0.01370475,0.04157411,0.001054213,0.0003349035,0.0001247481,0.0004772699,0.0002350653,0.005194901],"genre_scores_gemma":[0.9360271,0.004552352,0.05566055,0.000326087,0.00006577116,0.00009211653,0.0004251366,0.00004294804,0.002807994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009630609,"threshold_uncertainty_score":0.00302875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004350163834065851,"score_gpt":0.1807297174384699,"score_spread":0.176379553604404,"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."}}