{"id":"W2188771078","doi":"","title":"To amend City of Toronto Municipal Code Chapter 681, Sewers, and Chapter 851, Water Supply.","year":2013,"lang":"en","type":"article","venue":"","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Water supply; Code (set theory); Environmental planning; Business; Environmental science; Environmental engineering; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947072,0.001195368,0.0008770675,0.001558676,0.007560078,0.004967809,0.003250042,0.01904432,0.04848074],"category_scores_gemma":[0.01222992,0.001113885,0.001042936,0.002225188,0.001956532,0.001593872,0.001875432,0.009257887,0.03092855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0273653,"about_ca_system_score_gemma":0.08025902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8925991,"about_ca_topic_score_gemma":0.9672471,"domain_scores_codex":[0.9910062,0.0003485202,0.0004352259,0.0004937995,0.005845353,0.001870887],"domain_scores_gemma":[0.9851186,0.0009940969,0.0005364091,0.0007319347,0.01161976,0.0009991867],"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":[0.00001696456,0.00001842319,0.0003949256,0.00005468108,0.000003768338,0.00007135214,0.0002437067,0.00005858222,0.0001928732,0.006897199,0.9887926,0.003254956],"study_design_scores_gemma":[0.00001956972,0.00001559582,0.005183415,0.0001076972,0.00001403297,0.0000311178,0.0003442384,0.00006312791,0.000174207,0.0007602312,0.9932573,0.00002956422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006566659,0.007256331,0.002651767,0.187504,0.04190962,0.001348597,0.02708576,0.00158618,0.724091],"genre_scores_gemma":[0.01581622,0.001773441,0.001556825,0.1090017,0.00144571,0.0003967055,0.00547064,0.0003479442,0.8641908],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1074009,"threshold_uncertainty_score":0.2160668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220751174262621,"score_gpt":0.2105227570680668,"score_spread":0.1983152453254406,"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."}}