{"id":"W4389559000","doi":"10.1088/1742-6596/2654/1/012147","title":"Improved mesoscopic meteorological modelling of the urban climate for building physics applications","year":2023,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mesoscale meteorology; Mesoscopic physics; Meteorology; Environmental science; Climate model; Index (typography); Urban heat island; Computer science; Climatology; Climate change; Geography; Geology; Physics","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":[0.0001944661,0.0004126419,0.0004147751,0.0002777366,0.000229099,0.000640988,0.0006406799,0.0004635128,0.001247569],"category_scores_gemma":[0.0005508465,0.0002353545,0.0005291101,0.0004422349,0.0001958821,0.0005098797,0.0004506058,0.0005602019,0.0001977525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897175,"about_ca_system_score_gemma":0.0005758138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179651,"about_ca_topic_score_gemma":0.01654037,"domain_scores_codex":[0.9999293,0.00002104502,0.000003919446,0.00001849501,0.00001768066,0.000009601695],"domain_scores_gemma":[0.9998354,0.00004870513,0.00001788753,0.00003612616,0.00004367889,0.00001830767],"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":[0.00001439629,0.00001777846,0.001511112,0.000006429021,0.00001321952,0.00001867959,0.000006893479,0.9942505,0.001588516,0.0003896912,0.0001608447,0.00202201],"study_design_scores_gemma":[0.000002904254,0.000003064015,0.0007252478,5.157121e-7,0.000001543339,0.000001322635,0.000001451401,0.9989908,0.0001118401,0.0000824549,0.00007702555,0.000001818219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944278,0.0003173431,0.1909326,0.0006257462,0.0001744115,0.00008185238,0.001816971,0.001528445,0.01009477],"genre_scores_gemma":[0.9894271,0.00005721483,0.00949196,0.00001998252,0.00002306724,0.00002284961,0.0002679768,0.0000376307,0.0006522904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02179651,"threshold_uncertainty_score":0.04333931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336404094349531,"score_gpt":0.2554529031928267,"score_spread":0.2120888622493314,"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."}}