{"id":"W2145684457","doi":"10.1016/j.watres.2012.06.007","title":"Medium pressure UV combined with chlorine advanced oxidation for trichloroethylene destruction in a model water","year":2012,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chlorine; Chemistry; Trichloroethylene; Hydrogen peroxide; Ultraviolet; Inorganic chemistry; Advanced oxidation process; Water treatment; Mercury (programming language); Photochemistry; Nuclear chemistry; Environmental chemistry; Organic chemistry; Environmental engineering; Catalysis; Materials 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":[0.0001421297,0.0002301551,0.0002323089,0.0001788241,0.0001999176,0.000216511,0.0002741997,0.0003859679,0.0007620161],"category_scores_gemma":[0.0001536478,0.0001306396,0.0002928399,0.0001262448,0.0001859963,0.0001544118,0.0001428846,0.0002629907,0.00009936455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582666,"about_ca_system_score_gemma":0.0002694072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436726,"about_ca_topic_score_gemma":0.003186991,"domain_scores_codex":[0.9998908,0.00001711786,0.00000438105,0.00002491499,0.000034163,0.00002852282],"domain_scores_gemma":[0.9999518,0.00001583104,0.000007411918,0.000006426095,0.00001110707,0.000007475116],"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":[0.000138496,0.00002237706,0.0001075568,0.00002335031,0.000004053642,0.00004074119,0.00001411917,0.000240033,0.9984255,0.00004030673,0.00002354896,0.0009199469],"study_design_scores_gemma":[0.000007561698,0.0001725999,0.0003612144,8.869669e-7,0.000008234428,0.00002635766,0.000008172342,0.0008754421,0.9983373,0.000009099594,0.0001905143,0.000002567001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99779,0.0002685255,0.00131955,0.00001949337,0.00001263715,0.000008954657,0.00002327819,0.00002230706,0.0005353524],"genre_scores_gemma":[0.9976218,0.0001696966,0.001037227,0.00000658706,0.000003067945,0.000005236583,0.00002419181,0.0000073819,0.001124848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002436726,"threshold_uncertainty_score":0.004845023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022976049686381,"score_gpt":0.3055325834946772,"score_spread":0.2653028229978134,"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."}}