{"id":"W2129569631","doi":"10.1175/1520-0434(2003)018<1140:vomnwf>2.0.co;2","title":"Verification of Mesoscale Numerical Weather Forecasts in Mountainous Terrain for Application to Avalanche Prediction","year":2003,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro; Deutscher Akademischer Austauschdienst; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Mesoscale meteorology; Terrain; Meteorology; Numerical weather prediction; Precipitation; Environmental science; Quantitative precipitation forecast; North American Mesoscale Model; Climatology; Weather Research and Forecasting Model; Global Forecast System; Geology; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022536,0.00008456378,0.0001378949,0.00003381518,0.00009702796,0.00001206835,0.00004628454,0.00004302673,0.00005523236],"category_scores_gemma":[0.00009755207,0.00007349026,0.00003050969,0.0002097035,0.00002214112,0.00006488935,0.000004129823,0.00004136611,0.000003065707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008198685,"about_ca_system_score_gemma":0.00001126223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005618635,"about_ca_topic_score_gemma":0.0006451697,"domain_scores_codex":[0.9992864,0.00002382944,0.0002355402,0.0001974585,0.00008638555,0.0001703735],"domain_scores_gemma":[0.999639,0.0001168372,0.00006966451,0.00009242363,0.0000361255,0.00004597912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005489256,0.00002956384,0.8334908,0.00002956939,0.00001094287,1.714348e-7,0.002077954,0.003878065,0.0003138299,0.0005283593,0.00006561797,0.1595202],"study_design_scores_gemma":[0.0004574811,0.0002247312,0.8549798,0.00002379096,0.00001323424,0.000005158878,0.001232755,0.1322803,0.0001181055,0.001058972,0.009473029,0.0001325878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138706,0.0003371056,0.08133169,0.0001025687,0.00009538597,0.0006351941,0.0000599097,0.00002120721,0.003546364],"genre_scores_gemma":[0.9927096,0.00001246198,0.007002279,0.00005789924,0.00004470668,0.00003562127,0.00003349728,0.000005083919,0.00009885176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593876,"threshold_uncertainty_score":0.2996846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525790463447367,"score_gpt":0.2275729290310383,"score_spread":0.2023150243965647,"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."}}