{"id":"W2752741564","doi":"10.1016/j.watres.2017.09.011","title":"The tail of two models: Impact of circularity and biomass non-homogeneity on UV disinfection of wastewater flocs","year":2017,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogeneity (statistics); Wastewater; Population; Pulp and paper industry; Ultraviolet; Sewage treatment; Environmental engineering; Materials science; Environmental science; Chemistry; Mathematics","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":[0.004631265,0.0009032966,0.001758397,0.00107586,0.0005614921,0.001890795,0.002056483,0.004266242,0.004104611],"category_scores_gemma":[0.02221303,0.0005832582,0.001657069,0.0005896122,0.001581921,0.00288053,0.001397356,0.002111475,0.0005304762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001965645,"about_ca_system_score_gemma":0.001449387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032413,"about_ca_topic_score_gemma":0.008832152,"domain_scores_codex":[0.9988005,0.0004359989,0.00003971123,0.0001953092,0.0001079409,0.0004204581],"domain_scores_gemma":[0.9725384,0.02216195,0.001895059,0.0008933793,0.001387313,0.001124009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006312633,0.0002086105,0.003024656,0.0001251492,0.00006262513,0.000130976,0.00005750676,0.9834764,0.002263728,0.006586568,0.0007347673,0.002697728],"study_design_scores_gemma":[0.00003976851,0.00009495756,0.0008482593,0.00001138458,0.00003161615,0.00001180146,0.00002930979,0.9964251,0.0007170788,0.001667844,0.0001060113,0.00001690874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550949,0.0007728557,0.0330803,0.002721358,0.000140657,0.00009684935,0.0005484908,0.0002123761,0.007332274],"genre_scores_gemma":[0.9915212,0.000206512,0.001381353,0.0002460374,0.00004911138,0.00005423712,0.0002421382,0.00005017324,0.006249311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02032413,"threshold_uncertainty_score":0.04041165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0677357216559294,"score_gpt":0.3561366018043226,"score_spread":0.2884008801483932,"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."}}