{"id":"W2320479958","doi":"10.1021/es5021185","title":"Satellite-Derived Subsurface Urban Heat Island","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Urban heat island; Environmental science; Intensity (physics); Satellite; Moderate-resolution imaging spectroradiometer; Daytime; Diurnal cycle; Beijing; Atmospheric sciences; Spectroradiometer; Climatology; Meteorology; Geology; Reflectivity; Geography","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":[0.00009794451,0.0003479579,0.0002525209,0.0003002927,0.0001510376,0.0003767901,0.0003311435,0.0003127849,0.001251706],"category_scores_gemma":[0.0002562157,0.0001666209,0.0004548062,0.0006425256,0.0001905136,0.0003799597,0.0002854581,0.0002298943,0.000195113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982915,"about_ca_system_score_gemma":0.0005597365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05309134,"about_ca_topic_score_gemma":0.03969485,"domain_scores_codex":[0.9999471,0.000006594641,0.00000262707,0.00001796167,0.000009519468,0.00001618285],"domain_scores_gemma":[0.9999349,0.000007959013,0.000008674862,0.00001157827,0.00002399257,0.00001293748],"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":[0.0001980883,0.0001155061,0.1842638,0.00008739563,0.0001135421,0.0002054623,0.0001385257,0.778592,0.0177382,0.001186974,0.001331415,0.01602904],"study_design_scores_gemma":[0.00003447297,0.00002753233,0.09838988,0.000007910316,0.00003421357,0.0000227482,0.0001244247,0.8975887,0.002400922,0.0003711556,0.0009737737,0.00002432674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993583,0.00005029742,0.003061742,0.00005720884,0.00001171043,0.00001361902,0.001667717,0.0001611457,0.001393448],"genre_scores_gemma":[0.9977221,0.00002771118,0.000827047,0.000004931647,0.00000322145,0.00000622958,0.001160528,0.00001166201,0.0002365937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05309134,"threshold_uncertainty_score":0.1055647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003547639953012409,"score_gpt":0.1819941283742126,"score_spread":0.1784464884212002,"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."}}