{"id":"W4410551736","doi":"10.5194/icuc12-950","title":"Microclimate modeling in the tropics: case study of the outdoor thermal comfort impacts of increased vegetation in an urban park in Singapore","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microclimate; Tropics; Thermal comfort; Vegetation (pathology); Urban park; Geography; Environmental science; Ecology; Agroforestry; Environmental resource management; Environmental protection; Meteorology; Environmental planning; Archaeology; Biology","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":[0.0004155643,0.0006618949,0.0005061759,0.0003122971,0.0006891661,0.001062589,0.001006902,0.001014164,0.001414892],"category_scores_gemma":[0.0006173704,0.0002673413,0.0009065156,0.0005596101,0.000628843,0.000620059,0.0007712627,0.0008350847,0.0001357276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463663,"about_ca_system_score_gemma":0.0008898926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06105094,"about_ca_topic_score_gemma":0.06489201,"domain_scores_codex":[0.9998115,0.00007606736,0.00001103935,0.00003573245,0.00002185671,0.00004387277],"domain_scores_gemma":[0.9994879,0.0002464676,0.00004565152,0.00005210098,0.0000816724,0.00008624951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001600013,0.0003527354,0.02976682,0.0000967306,0.0000735527,0.0009263327,0.0002970989,0.9613945,0.002350659,0.001077585,0.0007135328,0.00279035],"study_design_scores_gemma":[0.00007292166,0.000187224,0.01181207,0.00001495099,0.00003538746,0.00008784019,0.0006842734,0.9846376,0.001164272,0.0003879339,0.0008877541,0.00002787577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947019,0.00008054925,0.001371909,0.0001470406,0.00001441858,0.00003219364,0.0003220388,0.00004526961,0.003284507],"genre_scores_gemma":[0.9966179,0.00008210832,0.002341333,0.00003603907,0.00000522403,0.00002440044,0.0002429402,0.00001617058,0.0006339345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06105094,"threshold_uncertainty_score":0.1213912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126411457249687,"score_gpt":0.2760291393270098,"score_spread":0.2447650247545129,"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."}}