{"id":"W6909970590","doi":"10.3929/ethz-b-000731985","title":"Local impact of trees on thermal comfort of pedestrians in streets","year":2025,"lang":"en","type":"other","venue":"Repository for Publications and Research Data (ETH Zurich)","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal comfort; Wind speed; Thermal; Vegetation (pathology); Equivalent temperature; Microclimate; Passive cooling; Urban heat island; Wind direction; Urban area","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":[0.0002714883,0.0001748008,0.0002492722,0.0005993698,0.0002777218,0.0006469856,0.0002471414,0.0002029453,0.03223527],"category_scores_gemma":[0.001202652,0.00008723864,0.0004441335,0.001839932,0.0001501783,0.0003343733,0.0006274589,0.0002142025,0.004944681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152962,"about_ca_system_score_gemma":0.0003472345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317006,"about_ca_topic_score_gemma":0.06323093,"domain_scores_codex":[0.9997392,0.00008195522,0.00001086382,0.00004091304,0.00006153889,0.00006551973],"domain_scores_gemma":[0.9991958,0.0002396868,0.0001116776,0.0000529746,0.0002143369,0.0001855211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001935772,0.0003273464,0.8869643,0.0008144571,0.0003969813,0.0004396768,0.002040831,0.008135237,0.001735594,0.0009755313,0.03870518,0.05752914],"study_design_scores_gemma":[0.00001412589,0.0001481916,0.9928866,0.0000718588,0.000102344,0.00006540722,0.001500777,0.000973848,0.0002950293,0.0001995695,0.003730132,0.00001201617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289011,0.0007204459,0.0004094612,0.0002472724,0.00004721243,0.00002655256,0.04635032,0.00009180597,0.02320582],"genre_scores_gemma":[0.9820878,0.0003962432,0.000191196,0.00002270973,0.00002697565,0.00003057493,0.0105595,0.00004686308,0.006638233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03223527,"threshold_uncertainty_score":0.1078377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07726863721551898,"score_gpt":0.3890971835838592,"score_spread":0.3118285463683402,"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."}}