{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059566,0.0001410991,0.0001626146,0.00002251192,0.0005255418,0.00004440774,0.0003120502,0.0000944011,0.000107964],"category_scores_gemma":[0.0001537478,0.0001005714,0.0000510886,0.00004672353,0.000304629,0.0006591274,0.0003156543,0.00008452685,0.00002710362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005554176,"about_ca_system_score_gemma":0.000006361906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245768,"about_ca_topic_score_gemma":0.0000316509,"domain_scores_codex":[0.998948,0.00003437494,0.0001841231,0.0003620718,0.0002035295,0.000267941],"domain_scores_gemma":[0.9993263,0.00003491707,0.0002235536,0.0003320222,0.00002940401,0.00005383741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006157233,0.0007017712,0.03113651,0.0002772744,0.00006534651,0.00001248868,0.003265189,0.05396897,0.9002332,0.00008848934,0.002268022,0.007367017],"study_design_scores_gemma":[0.001283559,0.0009360362,0.04639273,0.0001032461,0.00009657838,0.000007318209,0.00009030828,0.06371029,0.8765424,0.006418287,0.003737204,0.0006820265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601614,0.00001824223,0.03378851,0.0002314666,0.00005887177,0.0006714879,0.00001356754,0.00006906006,0.004987394],"genre_scores_gemma":[0.9966084,0.000006820363,0.002431532,0.0000431366,0.00005938803,0.0001669085,0.000007420819,0.00001248235,0.0006639003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03644701,"threshold_uncertainty_score":0.4101182,"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."}}