{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001734748,0.000102025,0.0001177692,0.0000411675,0.0003724942,0.000009137095,0.0003017671,0.00002824742,0.01031493],"category_scores_gemma":[0.00003269624,0.00007426735,0.00003474255,0.0002903117,0.000175208,0.0001846882,0.0006933856,0.0001051128,0.0001346183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114648,"about_ca_system_score_gemma":0.000003677243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005371005,"about_ca_topic_score_gemma":0.000009883305,"domain_scores_codex":[0.9988683,0.00005940454,0.0001939567,0.0002935794,0.0003364759,0.0002482651],"domain_scores_gemma":[0.9996881,0.00001905396,0.00005715267,0.0001842865,0.000007463932,0.00004391764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003103416,0.002118311,0.4818319,0.0005220158,0.00007995695,0.0000580151,0.00797822,0.2868287,0.2072548,0.0003859728,0.01158207,0.001049746],"study_design_scores_gemma":[0.00399527,0.003515637,0.2133366,0.00002789838,0.0002729102,0.00007179579,0.001172202,0.01720378,0.2751567,0.01736161,0.4654931,0.002392435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950978,0.00009367901,0.0002157873,0.0002298763,0.00005467073,0.0002033674,0.000003767177,0.00009472999,0.004006331],"genre_scores_gemma":[0.9977199,0.00001443477,0.0001461495,0.0001617098,0.0000181269,0.0001236007,0.00002105809,0.000009324138,0.001785667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4539111,"threshold_uncertainty_score":0.9905898,"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."}}