{"id":"W4392758078","doi":"10.5194/egusphere-egu24-14149","title":"Contrasting Responses of Heat Mitigation Strategies on Surface and Air Temperature and on Thermal-Stress Indices Deduced from Mesoscale Modelling","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Mesoscale meteorology; Thermal; Environmental science; Air temperature; Heat stress; Surface stress; Atmospheric sciences; Meteorology; Materials science; Surface (topology); Mechanics; Climatology; Geology; Geography; Physics; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109173,0.0002675048,0.0002971647,0.00009746906,0.00004579953,0.0001510263,0.00005935519,0.0002699022,0.0000110441],"category_scores_gemma":[0.000006817564,0.0002335963,0.00003618692,0.00005907758,0.00003596729,0.00008587501,0.00003203228,0.0005033514,7.763002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367271,"about_ca_system_score_gemma":0.00004485997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002147169,"about_ca_topic_score_gemma":0.00004930729,"domain_scores_codex":[0.9990745,0.00005852312,0.0002622482,0.0003213938,0.0001457644,0.0001376061],"domain_scores_gemma":[0.9994761,0.0002813477,0.0000129478,0.0001386768,0.00003469945,0.00005616772],"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":[0.00006207245,0.00001002832,0.0001464888,0.0005612209,0.00007887565,0.000002829771,0.001808661,0.9642431,0.0326632,0.0001771338,0.000006917339,0.0002394401],"study_design_scores_gemma":[0.0002333328,0.0000434236,0.001373394,0.001773241,0.00006793796,7.050416e-7,0.001014625,0.8000928,0.1943385,0.000793338,0.000001389068,0.0002673868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990235,0.00200871,0.00497464,0.0001005147,0.0001824964,0.0002758558,0.000321693,0.0002187969,0.001682279],"genre_scores_gemma":[0.9973232,0.0006019075,0.001796396,0.00001920297,0.00006239259,0.00000895466,0.000120815,0.00004365706,0.00002349408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641504,"threshold_uncertainty_score":0.9525779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333088721613947,"score_gpt":0.231158273703061,"score_spread":0.2178273864869215,"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."}}