{"id":"W4306392702","doi":"10.1002/hyp.14745","title":"Rapid mobilization of old water during urban stormflow","year":2022,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impervious surface; Environmental science; Hydrology (agriculture); Hydrograph; Surface runoff; Urban runoff; Stormwater; Groundwater; Streamflow; STREAMS; Precipitation; Urban stream; Surface water; Water quality; Storm; Drainage basin; Geology; Environmental engineering; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001030081,0.000131092,0.000133405,0.0004844497,0.0002934976,0.0002970981,0.0001184578,0.00009086103,0.0006238581],"category_scores_gemma":[0.0001609703,0.00009018849,0.00009072468,0.0003434614,0.0002779782,0.0002302838,0.0003499327,0.0001092072,0.00006616562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301929,"about_ca_system_score_gemma":0.0001253083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002820614,"about_ca_topic_score_gemma":0.007423276,"domain_scores_codex":[0.9999365,0.000006429,0.000003347105,0.00001808003,0.0000164359,0.00001929335],"domain_scores_gemma":[0.9998759,0.00001902213,0.00003940571,0.000009499747,0.00002956053,0.00002655787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004948764,0.00007180824,0.7944895,0.00006821418,0.00004721076,0.0006176476,0.0009646562,0.001208688,0.1821441,0.0002186058,0.0003906515,0.01928401],"study_design_scores_gemma":[0.000004354279,0.00006323773,0.9887487,0.00000296373,0.000007271641,0.00006546044,0.0003565483,0.0007141302,0.00936151,0.00008645749,0.0005858188,0.00000361486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994695,0.00001590265,0.0001950351,0.000003715763,8.74859e-7,0.000003907948,0.00006255939,0.00000804388,0.0002405235],"genre_scores_gemma":[0.9996263,0.00001656961,0.00009665268,0.000003332173,0.00000224026,0.000003174022,0.0001008795,0.000001594799,0.0001492489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002820614,"threshold_uncertainty_score":0.00560838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352654020454018,"score_gpt":0.1906408575885295,"score_spread":0.1771143173839894,"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."}}