{"id":"W2464806779","doi":"10.2166/wqrj.2009.001","title":"Innovation in Stormwater Management in Canada: The Way Forward","year":2009,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Environment and Climate Change Canada","funders":"","keywords":"Bioretention; Swale; Stormwater; Impervious surface; Rainwater harvesting; Surface runoff; Environmental science; Low-impact development; Environmental planning; Flooding (psychology); Green infrastructure; Water resource management; Hydrology (agriculture); Stormwater management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008842271,0.0001194796,0.0001363265,0.0003381394,0.0003276609,0.0001266921,0.0006634234,0.00003252594,0.0009733318],"category_scores_gemma":[0.00004123531,0.00006961936,0.00003506099,0.0009635892,0.000118282,0.0004252607,0.0003462936,0.0008117849,0.0002374353],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004113182,"about_ca_system_score_gemma":0.00005666945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4318853,"about_ca_topic_score_gemma":0.7049012,"domain_scores_codex":[0.9959322,0.0007535142,0.0006791559,0.0002544275,0.001447604,0.0009331047],"domain_scores_gemma":[0.9994501,0.00003911888,0.00005678213,0.0003371112,0.00003315517,0.00008365686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003597881,0.0007301075,0.7043156,0.00004601669,0.000111177,0.0009787099,0.01190293,0.00826016,0.00902931,0.009355565,0.1675207,0.08738995],"study_design_scores_gemma":[0.0006372788,0.00004651084,0.9338065,0.00001763398,0.000003084986,0.00001117605,0.001198091,0.0001864172,0.000670703,0.01373896,0.04952868,0.0001549879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676077,0.00001394565,0.0001986085,0.01883298,0.0001064685,0.0004138902,0.000001498258,0.000007325625,0.01281752],"genre_scores_gemma":[0.9959726,0.00002220901,0.000181623,0.0006709864,0.00004419854,0.00002239276,0.000005327799,0.000007233111,0.003073436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2730158,"threshold_uncertainty_score":0.9999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09553584878346653,"score_gpt":0.3519194275261782,"score_spread":0.2563835787427116,"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."}}