{"id":"W4402898158","doi":"10.1016/j.scitotenv.2024.176439","title":"Impacts of climate change on urban stormwater runoff quantity and quality in a cold region","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"City of Calgary; Natural Sciences and Engineering Research Council of Canada","keywords":"Surface runoff; Stormwater; Environmental science; Climate change; Stormwater management; Urban runoff; Water resource management; Hydrology (agriculture); Environmental planning; Engineering; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002549299,0.0002109629,0.0002113835,0.0005909213,0.000697423,0.0007283082,0.0003215104,0.0002435415,0.00070196],"category_scores_gemma":[0.0004477965,0.0001169055,0.0003565909,0.001363788,0.0004515676,0.0002450644,0.000341568,0.0002082696,0.0000665265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007102761,"about_ca_system_score_gemma":0.00343612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8259643,"about_ca_topic_score_gemma":0.877163,"domain_scores_codex":[0.9997768,0.00002003344,0.000008374356,0.00003883076,0.00007464836,0.00008135471],"domain_scores_gemma":[0.9997076,0.00002352822,0.00006018308,0.0000156296,0.0001367129,0.00005627555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000215642,0.0001048775,0.9499472,0.00006484974,0.000172851,0.0003497084,0.0004284551,0.02637399,0.009429888,0.0004772675,0.0009616431,0.01147358],"study_design_scores_gemma":[0.00000380269,0.00002208299,0.9933496,0.000003195877,0.00002300871,0.00002123978,0.0003399473,0.005196132,0.0004744121,0.00004261331,0.0005158524,0.000008037928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981582,0.00004995154,0.0001625471,0.00006597824,0.00000238887,0.00000850994,0.0005461659,0.00001321607,0.000993092],"genre_scores_gemma":[0.999163,0.00005821066,0.0001243768,0.00001780068,0.000002056311,0.000005318275,0.0004112152,0.000003533389,0.0002145423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8259643,"threshold_uncertainty_score":0.3501213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499227944213296,"score_gpt":0.2508747908528517,"score_spread":0.2158825114107187,"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."}}