{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005233435,0.0003696509,0.0003688677,0.0003296756,0.0002702503,0.0006242277,0.0002124281,0.000385495,0.0006966472],"category_scores_gemma":[0.001197564,0.0001291987,0.0003182291,0.0003226127,0.0002749814,0.0004435147,0.0002841419,0.0003649065,0.0001252194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266837,"about_ca_system_score_gemma":0.0002562687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958254,"about_ca_topic_score_gemma":0.003749918,"domain_scores_codex":[0.9994313,0.0001285675,0.0000400035,0.00009721097,0.0002462337,0.00005660216],"domain_scores_gemma":[0.999378,0.0001957687,0.0002014471,0.00003206469,0.0001628791,0.00002983345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003395989,0.00009192955,0.01159132,0.0001177914,0.00003294088,0.0000788929,0.0001355128,0.0006942069,0.9802571,0.00002419748,0.00003362689,0.006602892],"study_design_scores_gemma":[0.000008970106,0.002487338,0.07820051,0.00001386456,0.00006021374,0.0001594875,0.0002305848,0.001385858,0.9164583,0.00005339997,0.0009186286,0.00002281606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998133,0.0002836553,0.001139028,0.00001294192,0.000007702795,0.00002751719,0.0001160848,0.00001506936,0.0002650352],"genre_scores_gemma":[0.9978028,0.0002194614,0.001333823,0.00002358067,0.000003645556,0.00001509623,0.0001714376,0.00001337277,0.0004167036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002958254,"threshold_uncertainty_score":0.005882084,"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."}}