{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005211224,0.0001157103,0.0003953771,0.00004109539,0.00003529179,0.00000962646,0.0002497275,0.00003424352,0.0001733879],"category_scores_gemma":[0.00004854868,0.00006147083,0.00004042575,0.00006593869,0.00009190126,0.0002638356,0.00005256118,0.00003083243,0.000005575325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008702327,"about_ca_system_score_gemma":0.00002311462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000106023,"about_ca_topic_score_gemma":0.00002258189,"domain_scores_codex":[0.9984885,0.00007834238,0.0008216531,0.0001097775,0.0003714225,0.0001302597],"domain_scores_gemma":[0.9985862,0.00005141136,0.0009894648,0.0001731169,0.0001592754,0.00004051892],"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":[0.001017446,0.0004000127,0.003745905,0.0000238735,0.00008995258,0.000001635665,0.004123293,0.002088982,0.987514,3.547265e-7,0.00001827035,0.0009762411],"study_design_scores_gemma":[0.002445285,0.001462294,0.01045338,0.000047838,0.0001103223,0.000007362578,0.002061103,0.00003005995,0.9832203,0.00008049088,0.00001729774,0.00006426128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984038,0.0000224302,0.000662337,0.00004033761,0.0002451309,0.0005516299,0.00005781976,0.000003086698,0.00001342578],"genre_scores_gemma":[0.9990029,0.00001392031,0.0008311817,0.000007446428,0.00002430357,0.00001467047,0.00000594889,0.00001195506,0.00008763001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006707478,"threshold_uncertainty_score":0.2506707,"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."}}