{"id":"W2069850258","doi":"10.1007/s00704-009-0143-8","title":"A new Building Energy Model coupled with an Urban Canopy Parameterization for urban climate simulations—part II. Validation with one dimension off-line simulations","year":2009,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":275,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; University of British Columbia; École Polytechnique Fédérale de Lausanne","keywords":"Environmental science; Mesoscale meteorology; Work (physics); Meteorology; Climate model; Energy consumption; Air conditioning; Computer science; Climate change; Physics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165731,0.0002190096,0.0002926933,0.0000546519,0.0003773134,0.00003765658,0.00008611781,0.0001352325,0.0001614237],"category_scores_gemma":[0.00001715946,0.0001734142,0.00002045923,0.0001969734,0.0002887177,0.0001897408,0.00004460842,0.0000832692,0.000002887234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005091494,"about_ca_system_score_gemma":0.00002218711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009690235,"about_ca_topic_score_gemma":0.00003167684,"domain_scores_codex":[0.9985853,0.00004129742,0.0003127054,0.0004794202,0.0001954596,0.0003857764],"domain_scores_gemma":[0.999273,0.0001609787,0.0001171059,0.0002358075,0.00002534683,0.0001877847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009216626,0.0001656601,0.001877031,0.000007643934,0.00001195448,5.438537e-7,0.0002286521,0.2039738,0.02843598,0.763199,0.00003406543,0.001143979],"study_design_scores_gemma":[0.001647907,0.0009722883,0.0003551179,0.0000217617,0.0001275209,0.000008920319,0.00001498408,0.8930885,0.009992489,0.09341418,0.00007487851,0.0002814055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7539617,0.000007557819,0.2448305,0.0003755417,0.0000112123,0.0004008316,0.00002868498,0.00007394513,0.0003100298],"genre_scores_gemma":[0.9638525,0.0000108914,0.03512283,0.0003793702,0.00004533562,0.00002925046,0.0005058808,0.00002560077,0.00002836727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6891147,"threshold_uncertainty_score":0.7071624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076635099455597,"score_gpt":0.2337537319907168,"score_spread":0.2229873809961608,"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."}}