{"id":"W3040315773","doi":"10.1007/s11356-020-09768-z","title":"Surface temperature variations and their relationships with land cover in the Pearl River Delta","year":2020,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Urbanization; Land cover; Environmental science; Urban heat island; Land use; Physical geography; Hydrology (agriculture); Delta; Scale (ratio); Geography; Cartography; Meteorology; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001799878,0.00008140731,0.0001388265,0.0003995843,0.0001919603,0.0004509575,0.0001858869,0.0001978293,0.00115251],"category_scores_gemma":[0.0008807644,0.0001613314,0.0001301047,0.0006190514,0.0003213942,0.0003557008,0.00030187,0.0002416414,0.0001228611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495521,"about_ca_system_score_gemma":0.0002641431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673374,"about_ca_topic_score_gemma":0.04621814,"domain_scores_codex":[0.9999168,0.00002204996,0.000007649868,0.00001896581,0.00001748893,0.00001697825],"domain_scores_gemma":[0.9995068,0.0001994611,0.0001103503,0.00002435425,0.00008776814,0.00007116688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001221275,0.00003398763,0.994625,0.000008099499,0.00004292078,0.0001272763,0.0002802865,0.0005739736,0.001220122,0.00007633089,0.0001413118,0.00274857],"study_design_scores_gemma":[0.000001732628,0.000009898024,0.999183,0.000001153463,0.000003387449,0.00002091102,0.0001774806,0.000466664,0.0000419841,0.00002217129,0.0000700387,0.000001672306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999415,0.00003354594,0.00002424852,0.00002980165,0.000001092345,9.296019e-7,0.00008667554,0.000001821187,0.0004068232],"genre_scores_gemma":[0.9996924,0.00002351196,0.00001951992,0.000007607894,0.000001707471,0.000001654373,0.0000842018,9.593513e-7,0.0001684748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673374,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806958096114112,"score_gpt":0.2570994004064875,"score_spread":0.2190298194453464,"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."}}