{"id":"W2913502019","doi":"10.1111/wej.12456","title":"Synergistic effect between ultraviolet irradiation and electrochemical oxidation for removal of humic acids and pharmaceuticals","year":2019,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Chlorine; Electrolyte; Electrochemistry; Degradation (telecommunications); Humic acid; Anode; Ultraviolet; Radical; Inorganic chemistry; Advanced oxidation process; Irradiation; Nuclear chemistry; Electrode; Catalysis; Organic chemistry","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":[0.0002471028,0.0001249654,0.0001642114,0.00002633657,0.00008047772,0.00002253905,0.00004125522,0.00004825871,0.000146972],"category_scores_gemma":[0.000006262549,0.00008633259,0.00002460381,0.00001362834,0.0001016893,0.0001764273,0.0000467661,0.00008294101,0.00001688303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008124714,"about_ca_system_score_gemma":0.000001155403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001826296,"about_ca_topic_score_gemma":8.498379e-8,"domain_scores_codex":[0.9991961,0.00004508081,0.0002031868,0.0002095406,0.0001499737,0.00019618],"domain_scores_gemma":[0.9996883,0.00006392075,0.00006392822,0.00007090573,0.000001763467,0.0001112382],"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":[0.00005801464,0.00001785933,0.1105505,0.00001850968,0.0000224649,0.000001402923,0.0001384424,0.0000778753,0.8779041,0.000004815174,0.000004892535,0.01120115],"study_design_scores_gemma":[0.001978867,0.0004812903,0.1334739,0.00001568186,0.000133837,0.0001218995,0.00001527785,0.0004156261,0.8597193,0.001348653,0.002124551,0.0001712016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992763,0.00009308443,0.006640299,0.0001469915,0.00002120644,0.0002722056,0.000004372986,0.000004737254,0.00005411391],"genre_scores_gemma":[0.996915,0.0003095411,0.002537423,0.00002754123,0.00003555616,0.000008998022,0.00003862856,0.00001045488,0.0001168141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292335,"threshold_uncertainty_score":0.3520541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006820724046128454,"score_gpt":0.2386879700874538,"score_spread":0.2318672460413254,"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."}}