{"id":"W2591874119","doi":"10.1002/hyp.11170","title":"Urban stormwater thermal gene expression models for protection of sensitive receiving streams","year":2017,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Stormwater; Surface runoff; Environmental science; STREAMS; Hydrology (agriculture); Trench; Urban runoff; Inlet; Stormwater management; Environmental engineering; Ecology; Computer science; Geology; Geotechnical engineering","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":[0.0006001252,0.0005233587,0.0003976193,0.0003088467,0.0002508647,0.0004687173,0.0006101243,0.0005514406,0.001086359],"category_scores_gemma":[0.0009628183,0.0002754374,0.0006350714,0.0005083149,0.0004541118,0.0003442723,0.0003927428,0.0006006102,0.00009445028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407683,"about_ca_system_score_gemma":0.0007705109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137277,"about_ca_topic_score_gemma":0.009689772,"domain_scores_codex":[0.9998162,0.00008300687,0.000006469753,0.00004318459,0.0000234663,0.00002767799],"domain_scores_gemma":[0.9995568,0.0003134634,0.00005100262,0.00001527063,0.00004882044,0.00001455989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006201441,0.000009480784,0.000819591,0.000004409075,0.000004781074,0.000009067988,0.000008605909,0.9976982,0.0004769648,0.0002925431,0.00002690769,0.0006431544],"study_design_scores_gemma":[0.000002180022,0.000007895762,0.0004530639,7.795945e-7,0.000002490559,0.00000166319,0.00000634152,0.9987738,0.0003522627,0.0003222943,0.00007544539,0.000001867683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525499,0.0001243093,0.1425231,0.0002196587,0.00001585488,0.00009465311,0.0006057802,0.0002049458,0.003661821],"genre_scores_gemma":[0.9918306,0.00008211913,0.006557166,0.00002056154,0.000004087399,0.00007515407,0.0001915678,0.00001840601,0.001220192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137277,"threshold_uncertainty_score":0.02729559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317030500113529,"score_gpt":0.2403953450526904,"score_spread":0.1972250400515551,"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."}}