{"id":"W4394857928","doi":"10.1016/j.buildenv.2024.111524","title":"A state-of-the-art review of studies on urban green infrastructure for thermal resilient communities","year":2024,"lang":"en","type":"review","venue":"Building and Environment","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Microclimate; Scale (ratio); Green infrastructure; Computer science; Data science; Benchmarking; Built environment; Architectural engineering; Environmental science; Engineering; Systems engineering; Environmental resource management; Civil engineering; Geography; Business; Cartography","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":[0.0003901448,0.0002840147,0.0008015899,0.00003635282,0.00008745744,0.000006452774,0.0002505584,0.00006977581,0.00005400025],"category_scores_gemma":[0.00002030424,0.0001663957,0.0002540781,0.00008095831,0.0003417334,0.00003016644,0.0004129409,0.000207109,0.00001657486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121733,"about_ca_system_score_gemma":0.00001304604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002605522,"about_ca_topic_score_gemma":0.000005973814,"domain_scores_codex":[0.9986191,0.0001412567,0.0005533784,0.0002410602,0.0002832856,0.0001619294],"domain_scores_gemma":[0.9990715,0.0001544204,0.0003066644,0.0004282543,0.000002920735,0.00003628583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008486608,0.00005078015,0.0001701825,0.1496873,0.0002946273,9.269348e-7,0.00171791,0.0002918867,0.00002808341,0.00009820827,0.02546836,0.8221832],"study_design_scores_gemma":[0.00007283805,0.0001320255,0.0001104024,0.07700715,0.0008029792,0.000004466606,0.00005429326,0.00001362389,0.00004679905,0.0002800212,0.9212904,0.0001850012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00202117,0.9964706,0.000009261866,0.00007605824,0.0001354232,0.001044139,0.0001075232,0.000008315763,0.0001274983],"genre_scores_gemma":[0.0003284135,0.9981021,0.0003338696,0.00007576854,0.00002689503,0.0001622168,0.00001840957,0.00003014638,0.0009221759],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.895822,"threshold_uncertainty_score":0.6785421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458513992766288,"score_gpt":0.2947709609915735,"score_spread":0.2601858210639106,"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."}}