{"id":"W4388507637","doi":"10.1016/j.rse.2023.113893","title":"Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city","year":2023,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Anisotropy; Remote sensing; Radiance; Mean squared error; Parametric statistics; Computer science; Environmental science; Parametrization (atmospheric modeling); Field (mathematics); Algorithm; Meteorology; Geology; Mathematics; Physics; Statistics; Optics; Radiative transfer","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":[0.0008787061,0.001098602,0.001219297,0.0006720652,0.0009665332,0.001244834,0.001716826,0.002497989,0.002250232],"category_scores_gemma":[0.001893858,0.0006364217,0.001262527,0.001043247,0.001291212,0.0006810884,0.0007948747,0.001161555,0.0002256453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829141,"about_ca_system_score_gemma":0.001464371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1552522,"about_ca_topic_score_gemma":0.08155909,"domain_scores_codex":[0.9996647,0.0001090895,0.00001472651,0.00006122358,0.000037781,0.0001124305],"domain_scores_gemma":[0.9986895,0.0007442647,0.0000852177,0.0001090352,0.0001875241,0.0001844665],"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":[0.0001490944,0.0001547366,0.003341281,0.00002225307,0.00002748699,0.00007038435,0.00002540978,0.9940186,0.0005170089,0.0002303269,0.0001997249,0.001243636],"study_design_scores_gemma":[0.0001010628,0.00005841627,0.001891407,0.000003611666,0.00001396321,0.000005882664,0.00004383768,0.9974704,0.0002566942,0.00005942515,0.00008592648,0.000009309852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938635,0.00009849071,0.002310886,0.0002714524,0.00004888098,0.00004194378,0.0005522273,0.0002864531,0.002526207],"genre_scores_gemma":[0.9963246,0.00004057644,0.002725448,0.00003626124,0.000009909944,0.00002623212,0.0003549588,0.000031788,0.0004502794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1552522,"threshold_uncertainty_score":0.3086971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047810307390235,"score_gpt":0.288674591278919,"score_spread":0.240864283888684,"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."}}