{"id":"W3120762831","doi":"10.3390/su13020753","title":"Addressing the Urban Heat Islands Effect: A Cross-Country Assessment of the Role of Green Infrastructure","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Urban heat island; Microclimate; Scope (computer science); Urban climate; Environmental science; Climate change; Environmental planning; Urban planning; Geography; Environmental resource management; Environmental protection; Civil engineering; Meteorology; Computer science; Ecology; Engineering","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":[0.003393982,0.0006911054,0.0007197607,0.002605285,0.0004983703,0.001781719,0.0004891104,0.0006508528,0.001313327],"category_scores_gemma":[0.004107789,0.0002578977,0.001808405,0.003320412,0.001173809,0.001554119,0.002697289,0.0007458839,0.0001622384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021483,"about_ca_system_score_gemma":0.0007062528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681471,"about_ca_topic_score_gemma":0.01853852,"domain_scores_codex":[0.9981294,0.001163899,0.0000704101,0.0001420102,0.0002015248,0.0002926299],"domain_scores_gemma":[0.9949544,0.00273783,0.0009044809,0.0003957147,0.0007599008,0.0002476605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001340393,0.0008669357,0.8812866,0.002275364,0.006805451,0.002309867,0.004778163,0.03390862,0.002758583,0.009498053,0.001861861,0.05231024],"study_design_scores_gemma":[0.00003165005,0.001568399,0.9603897,0.0004115481,0.002168869,0.0004796986,0.01639572,0.01040082,0.001550114,0.0009952068,0.005543967,0.00006440627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988099,0.002160899,0.002942989,0.0002022878,0.00002860957,0.0001365277,0.0009033738,0.00001162463,0.005514685],"genre_scores_gemma":[0.9964398,0.001217425,0.001189051,0.00005922973,0.00001326784,0.00005809066,0.0006272595,0.00000822927,0.0003875831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01681471,"threshold_uncertainty_score":0.03343368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005523014544304052,"score_gpt":0.2768030879777889,"score_spread":0.2712800734334848,"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."}}