{"id":"W3129827918","doi":"10.5194/gmd-14-961-2021","title":"The Vertical City Weather Generator (VCWG v1.3.2)","year":2021,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Eidgenössische Technische Hochschule Zürich; Albert-Ludwigs-Universität Freiburg; Government of Ontario; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Ontario Centres of Excellence; University of Guelph","keywords":"Wind speed; Microclimate; Environmental science; Meteorology; Turbulence kinetic energy; Atmospheric sciences; Humidity; Turbulence; Planetary boundary layer; Relative humidity; Wind direction; Mean squared error; Momentum (technical analysis); Diffusion; Mathematics; Geography; Geology; Physics; Statistics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008475673,0.001233888,0.0007261013,0.000574727,0.0002933323,0.0009703836,0.002511121,0.0008666674,0.0346006],"category_scores_gemma":[0.001739504,0.0008064532,0.0007071283,0.0008525082,0.0002576529,0.001186668,0.0009467473,0.001307935,0.01271632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000571636,"about_ca_system_score_gemma":0.000911082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852222,"about_ca_topic_score_gemma":0.006963505,"domain_scores_codex":[0.9997361,0.00004918112,0.00001887762,0.00006027842,0.00009769898,0.00003782654],"domain_scores_gemma":[0.999509,0.000129596,0.00004308947,0.0001067491,0.0001573641,0.00005417113],"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":[0.001045955,0.0002778781,0.01363533,0.0008069064,0.0003167382,0.0005132266,0.0003130277,0.4359355,0.01237181,0.01409971,0.3995248,0.121159],"study_design_scores_gemma":[0.0003873685,0.00004924583,0.002009467,0.00003386033,0.00003258913,0.00005198966,0.00001927943,0.9238087,0.005937714,0.003165099,0.06445757,0.00004711841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.05649345,0.0005266786,0.3949248,0.0006054621,0.0005436356,0.0009701144,0.09806021,0.3974823,0.05039345],"genre_scores_gemma":[0.4987912,0.0006092372,0.2630672,0.0005461954,0.0001731296,0.001994538,0.1509089,0.04813745,0.03577209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0346006,"threshold_uncertainty_score":0.1157506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972494262406604,"score_gpt":0.2098574998369744,"score_spread":0.1901325572129084,"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."}}