{"id":"W4322208462","doi":"10.5194/egusphere-egu23-16395","title":"Projecting the evolution of the urban climate of metropolitan French cities using a convection-permitting model","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metropolitan area; Climate model; Urban climate; Climate change; Urban heat island; Urban climatology; Climatology; Geography; Damages; Environmental science; Scale (ratio); Urbanization; Meteorology; Cartography; Geology","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":[0.0002652915,0.0006125566,0.0003249401,0.0005188205,0.0004509131,0.0007861516,0.0006068685,0.0008154436,0.001509128],"category_scores_gemma":[0.0005382105,0.0002448138,0.0008059753,0.0007174347,0.0003154381,0.0002311868,0.0003918439,0.000397074,0.0001719022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764472,"about_ca_system_score_gemma":0.001216282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4638968,"about_ca_topic_score_gemma":0.2334291,"domain_scores_codex":[0.9998759,0.00004418949,0.000004532635,0.00003109581,0.00001023519,0.00003399875],"domain_scores_gemma":[0.9997937,0.00007275172,0.00002755401,0.00002078575,0.00005002237,0.00003519909],"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":[0.00005295649,0.00003736733,0.01299771,0.00001607198,0.00003689049,0.00009286888,0.00003585178,0.9835336,0.0007693314,0.0006131849,0.0003255467,0.001488562],"study_design_scores_gemma":[0.00002665286,0.00002342072,0.01256456,0.000005134845,0.00001755207,0.00001052849,0.00004774415,0.9863119,0.000272804,0.00008667557,0.0006169265,0.00001610546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931037,0.0001220397,0.00193221,0.0001569494,0.00001157111,0.0000168367,0.001413192,0.0001629961,0.003080399],"genre_scores_gemma":[0.9969519,0.00008490871,0.00123885,0.00001661331,0.000006505054,0.00002067787,0.0009120128,0.00001259267,0.0007558444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4638968,"threshold_uncertainty_score":0.9223931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191840728690443,"score_gpt":0.2644117171275792,"score_spread":0.2224933098406748,"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."}}