{"id":"W7055266525","doi":"","title":"Calculating Stormwater Price by Volume in Canada: an Analysis of Three Cities","year":2019,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Surface runoff; Green infrastructure; Low-impact development; Order (exchange)","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":[0.0005906628,0.0004816293,0.0005046161,0.004870879,0.002587438,0.003130333,0.001408079,0.0004631953,0.00378435],"category_scores_gemma":[0.003639646,0.0003772853,0.001240912,0.01601254,0.0009273659,0.0009572839,0.001203437,0.0007821032,0.0003765896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07312784,"about_ca_system_score_gemma":0.02797186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996618,"about_ca_topic_score_gemma":0.9972536,"domain_scores_codex":[0.9985922,0.00007048361,0.00004105701,0.00009468664,0.0007595855,0.000441955],"domain_scores_gemma":[0.9965627,0.0003939418,0.0002974,0.00008171492,0.002206265,0.0004581207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003254523,0.0002296018,0.8877302,0.0001778796,0.0002649218,0.00101279,0.002789073,0.04156886,0.0006066111,0.0115461,0.01636033,0.03738827],"study_design_scores_gemma":[0.0000303422,0.00006296872,0.9327999,0.00004052127,0.0001037152,0.000153861,0.009710616,0.04374202,0.000514709,0.0009016771,0.01185266,0.00008703816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713557,0.0004395393,0.0008056281,0.0006154444,0.00001507578,0.000121691,0.009539884,0.0001060389,0.01700113],"genre_scores_gemma":[0.9864232,0.0004421402,0.0009212805,0.00007469724,0.000004943129,0.00003110615,0.005535688,0.00004811377,0.006518872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07312784,"threshold_uncertainty_score":0.5305821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006392784870248562,"score_gpt":0.1308243998149576,"score_spread":0.1244316149447091,"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."}}