{"id":"W4310731420","doi":"10.1016/j.scitotenv.2022.160689","title":"Impact of rainfall characteristics on urban stormwater quality using data mining framework","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta","keywords":"Stormwater; Environmental science; Hydrology (agriculture); Water quality; Surface runoff; Geology","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":[0.002175656,0.0001615549,0.0001845662,0.00004647018,0.0008472979,0.00002234526,0.002800793,0.00002073946,0.0019536],"category_scores_gemma":[0.00009271991,0.0000964201,0.0001140115,0.0004039798,0.001961558,0.0002591877,0.006903837,0.0002293467,0.00003444747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009364735,"about_ca_system_score_gemma":0.00003310326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005489126,"about_ca_topic_score_gemma":7.24282e-7,"domain_scores_codex":[0.997184,0.0002091269,0.0003777915,0.0004351514,0.001405947,0.0003879877],"domain_scores_gemma":[0.9972169,0.00008566138,0.0004132578,0.00221334,0.000002914614,0.00006796108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001395592,0.0009078538,0.05965459,0.0000129098,0.0001105679,0.000001942022,0.009726611,0.7396781,0.1863301,0.0004986692,0.001796734,0.001142359],"study_design_scores_gemma":[0.0001856335,0.0002530408,0.9744508,0.00001621457,0.00006824207,0.000006267142,0.0004125706,0.02251827,0.001229241,0.0002769595,0.0003386742,0.0002441333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981771,0.000008209488,0.0001965247,0.0002521284,0.000228711,0.0003211196,0.0001552414,0.000008921373,0.0006520351],"genre_scores_gemma":[0.9982245,0.000002082759,0.001054191,0.00003517787,0.00002376489,0.000008694951,0.000005457711,0.00001209981,0.0006340066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9147962,"threshold_uncertainty_score":0.9989588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057928443350033,"score_gpt":0.2947136494673609,"score_spread":0.2367852061173279,"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."}}