{"id":"W4389254649","doi":"10.1007/978-3-031-46522-2_4","title":"Urban Water and Waste","year":2023,"lang":"en","type":"book-chapter","venue":"Sustainable development goals series","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reuse; Greywater; Incineration; Wastewater; Waste management; Sustainability; Water quality; Water conservation; Environmental science; Environmental planning; Municipal solid waste; Environmental engineering; Business; Water resources; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002515089,0.0009614868,0.000425886,0.001868548,0.001743903,0.003107092,0.0006143762,0.001381395,0.07452156],"category_scores_gemma":[0.000435528,0.0003414142,0.0003127554,0.002427514,0.0009377371,0.002067285,0.001803966,0.001796598,0.03699286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134548,"about_ca_system_score_gemma":0.002095091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666756,"about_ca_topic_score_gemma":0.07248151,"domain_scores_codex":[0.9997095,0.00003755934,0.000009521164,0.00004148621,0.000169653,0.00003218291],"domain_scores_gemma":[0.9999207,0.00001151052,0.000004676436,0.00001452338,0.00003758198,0.0000110853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007679355,0.00003302158,0.000106169,0.00008468775,0.00000243418,0.00004204853,0.0002819578,0.0001842534,0.0003635173,0.1049643,0.7072629,0.186667],"study_design_scores_gemma":[4.914316e-7,0.000002634784,0.00009653033,0.00003182932,6.259384e-7,0.00001659027,0.00005510853,0.00003683712,0.00007572295,0.005273469,0.9944089,0.000001290088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003007007,0.01079612,0.001433569,0.002334804,0.001763962,0.00003994763,0.000209076,0.0001151951,0.9830067],"genre_scores_gemma":[0.001229593,0.003360467,0.0003525546,0.0006867192,0.0001593938,0.00002030525,0.0001111523,0.00004989403,0.9940299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07452156,"threshold_uncertainty_score":0.2492995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145459358418644,"score_gpt":0.2133048690051421,"score_spread":0.1987589331632777,"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."}}