{"id":"W4283712510","doi":"10.3390/atmos13071030","title":"Summertime Assessment of an Urban-Scale Numerical Weather Prediction System for Toronto","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Mesoscale meteorology; Climatology; Environmental science; Meteorology; Sea breeze; Context (archaeology); Weather Research and Forecasting Model; Urban heat island; Numerical weather prediction; Nowcasting; Urban climate; Precipitation; Geography; Urban planning; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008768866,0.0006239857,0.000215347,0.0002841934,0.0007921223,0.0009053115,0.000756298,0.0003351484,0.002428024],"category_scores_gemma":[0.001595222,0.0002113224,0.000293847,0.0006117218,0.0002727817,0.0004201014,0.0003930709,0.0003579999,0.0005664072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009650039,"about_ca_system_score_gemma":0.006175473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.858988,"about_ca_topic_score_gemma":0.8482679,"domain_scores_codex":[0.9996164,0.00007044953,0.00001902655,0.00008545801,0.0001276193,0.00008094305],"domain_scores_gemma":[0.9989999,0.00008831406,0.00004137468,0.00007691952,0.0006191494,0.0001744516],"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":[0.001332701,0.0003347234,0.1484034,0.0002504075,0.0001677278,0.0004028959,0.0008212245,0.7282544,0.01311905,0.003245845,0.0274947,0.07617293],"study_design_scores_gemma":[0.00006479971,0.0001142903,0.0656842,0.00002144711,0.00003262345,0.00001158563,0.0002835322,0.9263154,0.00239034,0.0001075386,0.004941613,0.00003254446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521221,0.000205918,0.01369802,0.0005036494,0.0001188844,0.0003017866,0.01021864,0.001993491,0.02083757],"genre_scores_gemma":[0.98131,0.00008440152,0.006812556,0.00002858216,0.000009697361,0.00005747636,0.009112891,0.00005592422,0.002528383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141012,"threshold_uncertainty_score":0.2836849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006489799125411469,"score_gpt":0.2284158721791171,"score_spread":0.2219260730537057,"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."}}