{"id":"W7084602444","doi":"10.1016/j.buildenv.2025.113819","title":"Evaluating high-resolution mean radiant temperature within an urban street canopy: Resolving spatiotemporal variations with LiDAR/thermal infrared scanning and data-driven simulation","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Longwave; Irradiance; Thermal inertia; Shortwave; Thermal; Mean radiant temperature; Street canyon; Infrared; Thermal infrared; Radiance","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":[0.000509964,0.0002452586,0.0002039711,0.00005901391,0.0007433419,0.0001490031,0.0001958736,0.0001175107,0.00008564925],"category_scores_gemma":[0.00002565919,0.0002230583,0.00001638946,0.0001268449,0.0002159391,0.0007896802,0.000420084,0.00021063,0.00000314762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894442,"about_ca_system_score_gemma":0.00002573668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565736,"about_ca_topic_score_gemma":0.0003036182,"domain_scores_codex":[0.9981745,0.0001754895,0.0002922982,0.0006432626,0.0004070739,0.0003073475],"domain_scores_gemma":[0.9991713,0.00006322792,0.0001633809,0.0004250408,0.000002920943,0.0001741656],"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":[0.00005053,0.000103153,0.4413321,0.00001408095,0.0000536655,0.000005093999,0.0024619,0.5240718,0.02567581,0.0001121829,0.00004548432,0.006074252],"study_design_scores_gemma":[0.0008334914,0.0002315224,0.6883608,0.00009434949,0.0001058306,0.00000156479,0.0005255806,0.3087895,0.0004071367,0.0001909892,0.0001542959,0.0003049186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960295,0.0000886727,0.003032811,0.0001571008,0.00006357029,0.0003568556,0.00005134686,0.000040526,0.0001795987],"genre_scores_gemma":[0.9730756,0.00002923267,0.02628591,0.000137425,0.00006383345,0.00001905642,0.0001736164,0.00002287297,0.0001924776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2470288,"threshold_uncertainty_score":0.9096053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026268394401183,"score_gpt":0.3077844599108881,"score_spread":0.2815160655097051,"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."}}