{"id":"W4306411922","doi":"10.2166/wqrj.2022.006","title":"Impact of water characteristics on UV disinfection of unfiltered water","year":2022,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Turbidity; Chemistry; Zeta potential; Environmental chemistry; Filtration (mathematics); Raw water; Chlorine; Water quality; Absorbance; Environmental science; Portable water purification; Water treatment; Particulates; Pulp and paper industry; Environmental engineering; Chromatography; Materials science; Ecology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009814539,0.0001793078,0.0004196614,0.000293397,0.0007237286,0.00009353921,0.0005207971,0.00005762941,0.008751282],"category_scores_gemma":[0.00006410631,0.00008919332,0.0004848797,0.0002002492,0.0003226522,0.0002186673,0.0007508961,0.0009583971,0.0002574282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000638251,"about_ca_system_score_gemma":0.00001908077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398087,"about_ca_topic_score_gemma":0.000002826257,"domain_scores_codex":[0.9932376,0.002695903,0.0008836052,0.0003109668,0.002018501,0.0008534764],"domain_scores_gemma":[0.9989893,0.00008566388,0.0001238848,0.00046616,0.0001094248,0.0002255939],"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":[0.0004142702,0.0006330029,0.1193505,0.00003245328,0.0001696828,0.00002017946,0.005395172,0.001475721,0.8708655,0.000008601362,0.0004361802,0.001198685],"study_design_scores_gemma":[0.0006065834,0.00139849,0.1146899,0.00002163771,0.00002939317,0.00004571117,0.0004012556,0.00007179021,0.8796061,0.001450563,0.001454433,0.0002241731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987245,0.000003435165,0.00004504038,0.000601513,0.0001956979,0.0001146507,0.00005146134,0.00001201125,0.0002516682],"genre_scores_gemma":[0.9982196,0.00001041139,0.00002488776,0.000009865485,0.0001722793,0.00001131585,0.00006442916,0.0000208858,0.001466335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009750433,"threshold_uncertainty_score":0.9921548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162143166925696,"score_gpt":0.4124047760567432,"score_spread":0.2961904593641736,"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."}}