{"id":"W2008428507","doi":"10.1016/j.jhazmat.2015.03.036","title":"A study of enhanced performance of VUV/UV process for the degradation of micropollutants from contaminated water","year":2015,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Degradation (telecommunications); Computational fluid dynamics; Baffle; Chemistry; Process (computing); Environmental science; Radiation; Process engineering; Work (physics); Materials science; Nuclear engineering; Chemical engineering; Mechanics; Computer science; Thermodynamics; Optics; Physics","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":[0.0002327547,0.0002718432,0.0003681352,0.0001802484,0.0002475631,0.0003845198,0.000303545,0.000459284,0.0006673794],"category_scores_gemma":[0.0002801124,0.0001431282,0.0004168689,0.000187405,0.0001732313,0.00032968,0.0001851955,0.0003224725,0.0001515639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826644,"about_ca_system_score_gemma":0.0001816719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106472,"about_ca_topic_score_gemma":0.001035848,"domain_scores_codex":[0.9997901,0.00003115887,0.00001157411,0.0000453736,0.00007685346,0.00004495958],"domain_scores_gemma":[0.9998792,0.00003353605,0.00002284301,0.00001010916,0.00004284011,0.00001139519],"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":[0.0001351396,0.00002739241,0.0002079905,0.00006070999,0.000008401144,0.00005292337,0.00002857322,0.0001220538,0.9977831,0.00002270716,0.00001481103,0.001536166],"study_design_scores_gemma":[0.000003027132,0.0002643002,0.001092912,0.000002686723,0.00001336951,0.0000606948,0.00002392279,0.0005441142,0.9976971,0.000006605347,0.0002881419,0.000003253373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979553,0.0006732062,0.0009377165,0.000014024,0.000008621681,0.00000772564,0.00005119495,0.00001063978,0.0003415678],"genre_scores_gemma":[0.9975482,0.0005611384,0.0009778405,0.00001339222,0.000005313398,0.000004953873,0.00006284896,0.00001000811,0.0008163422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106472,"threshold_uncertainty_score":0.002232671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845253160040906,"score_gpt":0.2804988567289421,"score_spread":0.2520463251285331,"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."}}