{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004714927,0.0003806623,0.0001547288,0.000517197,0.0003274753,0.0007803265,0.0003688562,0.0004074746,0.003748274],"category_scores_gemma":[0.0008061638,0.0001169109,0.0003490041,0.000380086,0.0002982648,0.0009400657,0.0004866776,0.0004267423,0.0006434752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959898,"about_ca_system_score_gemma":0.0004774955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554353,"about_ca_topic_score_gemma":0.003272085,"domain_scores_codex":[0.9996778,0.00004614047,0.00002687247,0.00003768074,0.0001470681,0.00006449062],"domain_scores_gemma":[0.9996675,0.0000649561,0.0000715852,0.00003003132,0.0001250053,0.00004082798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007204521,0.0005168025,0.01087001,0.0007413558,0.00003573328,0.000640484,0.0003747432,0.003954116,0.8085826,0.002406075,0.003342654,0.167815],"study_design_scores_gemma":[0.00005618205,0.002246068,0.0162342,0.00006891398,0.00008683276,0.0007359586,0.000547427,0.01535361,0.9277036,0.00048442,0.03643293,0.00004983742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510806,0.00164229,0.02166788,0.0005951395,0.0001919356,0.0002513853,0.0003231395,0.0005986106,0.02364903],"genre_scores_gemma":[0.9843923,0.0009807587,0.008413611,0.0001018076,0.00001487736,0.0000432131,0.0001680317,0.00002861429,0.005856869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003748274,"threshold_uncertainty_score":0.01253921,"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."}}