{"id":"W2934828981","doi":"10.3390/w11040723","title":"The Effectiveness of Exfiltration Technology to Support Sponge City Objectives","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Guelph","funders":"","keywords":"Stormwater; Surface runoff; Environmental science; Groundwater recharge; Water resource management; Hydrology (agriculture); Flooding (psychology); Groundwater; Water quality; Flash flood; Low-impact development; Environmental planning; Environmental engineering; Flood myth; Geography; Stormwater management; Aquifer; Geology","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":[0.0004543966,0.00006223095,0.00007179676,0.00003836932,0.00007450198,0.0000113892,0.0001918337,0.00003251628,0.0008058029],"category_scores_gemma":[0.00001105375,0.00003557551,0.00002401012,0.0001265982,0.0001047453,0.0001258965,0.0002203814,0.00004440833,0.002307179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008128268,"about_ca_system_score_gemma":0.000001847993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007704232,"about_ca_topic_score_gemma":0.00006094672,"domain_scores_codex":[0.99937,0.00006423389,0.0000917248,0.0001669046,0.0001236398,0.0001834327],"domain_scores_gemma":[0.999648,0.00003451967,0.00001718526,0.0002748942,0.000005938301,0.0000195048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007990972,0.00004800503,0.6075963,0.000009603316,0.00001835987,0.000001195563,0.0003736634,0.0002196899,0.3887956,0.001575002,0.0005386837,0.000743889],"study_design_scores_gemma":[0.0001681841,0.0001947161,0.6620457,0.000005162567,0.00000803139,0.000001510873,0.00006252289,0.00001315414,0.30698,0.002158027,0.02827159,0.00009138859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790879,0.00000186068,0.000454694,0.0002263539,0.0001352165,0.0004408624,0.000001637656,0.00003147704,0.01961997],"genre_scores_gemma":[0.9964194,7.476674e-7,0.00009758341,0.00002404229,0.000005534493,0.00004233351,0.000003224706,0.000005528799,0.003401653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08181565,"threshold_uncertainty_score":0.9984697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005845356589968974,"score_gpt":0.2219771612348375,"score_spread":0.2161318046448685,"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."}}