{"id":"W3202783444","doi":"10.3390/w13192732","title":"Riparian Land Cover, Water Temperature Variability, and Thermal Stress for Aquatic Species in Urban Streams","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northern Research Station; Fonds de recherche du Québec – Nature et technologies; U.S. Forest Service; U.S. Department of Agriculture","keywords":"Impervious surface; Environmental science; Riparian zone; Stormwater; Hydrology (agriculture); STREAMS; Thermal pollution; Water quality; Canopy; Surface runoff; Land cover; Habitat; Ecology; Land use; Environmental engineering; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829484,0.0001301921,0.0001063505,0.0004440983,0.0002140073,0.0003620159,0.0001241875,0.0001153289,0.0008691893],"category_scores_gemma":[0.0007863464,0.0001062608,0.0001685905,0.0004226618,0.0002144092,0.0002768365,0.0002774267,0.0001201947,0.00008872081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038151,"about_ca_system_score_gemma":0.0002675575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009390146,"about_ca_topic_score_gemma":0.03603466,"domain_scores_codex":[0.9998924,0.00003274875,0.000007599712,0.00002439489,0.00002092714,0.00002194294],"domain_scores_gemma":[0.999665,0.00009796584,0.0001196699,0.00001855428,0.00003228289,0.0000665566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002625221,0.00002096301,0.9961941,0.00000459616,0.00002225214,0.00002831271,0.00008366822,0.0008162633,0.0007023938,0.00002902442,0.00002504482,0.002047017],"study_design_scores_gemma":[5.056351e-7,0.00001507861,0.9981901,0.000001302179,0.000005652904,0.00001764952,0.0001504028,0.001471482,0.00008002756,0.00003046884,0.00003603762,0.000001337713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998135,0.000009608744,0.00007759763,0.000003572583,2.055334e-7,9.275668e-7,0.00002399918,0.000001532394,0.00006913587],"genre_scores_gemma":[0.9997969,0.00001019121,0.00007934828,0.000002144595,7.963513e-7,0.000001508635,0.00004994883,8.142355e-7,0.00005831506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009390146,"threshold_uncertainty_score":0.01867098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006047268654770815,"score_gpt":0.1886508815518017,"score_spread":0.1826036128970309,"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."}}