{"id":"W2049785357","doi":"10.1175/2010bams2913.1","title":"Environment Canada's Experimental Numerical Weather Prediction Systems for the Vancouver 2010 Winter Olympic and Paralympic Games","year":2010,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Numerical weather prediction; Meteorology; Grid; Terrain; Weather Research and Forecasting Model; Environmental science; Forcing (mathematics); Visibility; North American Mesoscale Model; Precipitation; Surface weather observation; Weather forecasting; Snow; Global Forecast System; Climatology; Geography; Geology; Cartography; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001611505,0.001221982,0.0005487755,0.0006014259,0.001677663,0.001493087,0.002114914,0.0006469387,0.005674862],"category_scores_gemma":[0.002981768,0.000619103,0.000427735,0.001247528,0.0005329331,0.0008825235,0.0009898744,0.001228255,0.001954854],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006827064,"about_ca_system_score_gemma":0.01527378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9139576,"about_ca_topic_score_gemma":0.8910695,"domain_scores_codex":[0.999134,0.0001087659,0.00003938928,0.0001774722,0.0004245422,0.0001158963],"domain_scores_gemma":[0.9976296,0.0001327286,0.00007559529,0.0002561429,0.001548601,0.0003572631],"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":[0.00144833,0.0007160424,0.07410292,0.0002381593,0.0002914791,0.0002224886,0.0004857435,0.4776146,0.007432067,0.005521566,0.294206,0.1377207],"study_design_scores_gemma":[0.0003408239,0.00006785262,0.01710809,0.00003210623,0.00003319454,0.00001093161,0.0001438864,0.9407101,0.00271343,0.0005620587,0.0382049,0.00007266463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5129549,0.001206692,0.09782405,0.00431614,0.002198212,0.002098113,0.2131316,0.04126827,0.1250021],"genre_scores_gemma":[0.7278287,0.0006818722,0.06480955,0.000335361,0.0001039866,0.000582842,0.1833581,0.001334273,0.0209652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9931729,"threshold_uncertainty_score":0.1730982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022330196833142,"score_gpt":0.196031738916339,"score_spread":0.1858084369480075,"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."}}