{"id":"W2978974579","doi":"","title":"The microphysics scheme in the high-resolution numerical weather prediction system for the 2010 Vancouver Olympics","year":2010,"lang":"en","type":"article","venue":"14th Conference on Mountain Meteorology (30 August–3 September 2010)","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Numerical weather prediction; Meteorology; Scheme (mathematics); Computer science; Environmental science; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002040424,0.0003387687,0.0003424379,0.0000718486,0.001080413,0.0001765041,0.0009797587,0.000397579,0.001785424],"category_scores_gemma":[0.0002105502,0.0001624907,0.0001487446,0.0002891748,0.0005443325,0.0001784818,0.00003665517,0.001053998,0.0004895047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002519239,"about_ca_system_score_gemma":0.0001173047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009170982,"about_ca_topic_score_gemma":0.003680996,"domain_scores_codex":[0.9971424,0.0006433174,0.0005295036,0.0005284114,0.0004383883,0.0007180243],"domain_scores_gemma":[0.995753,0.002887816,0.0002537728,0.0008247442,0.0001689068,0.000111741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003343924,0.0007797807,0.2591853,0.000154507,0.0007939697,0.00004398088,0.00238862,0.05239658,0.008271237,0.3974411,0.230225,0.04497596],"study_design_scores_gemma":[0.002152331,0.00111122,0.4472046,0.00002237107,0.0002105168,0.00002557547,0.00158596,0.4114415,0.0001061325,0.02153014,0.1139816,0.0006280864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375885,0.0003870139,0.01448696,0.004583393,0.01590471,0.003366927,0.0004621742,0.0002231431,0.02299716],"genre_scores_gemma":[0.9948005,0.00002728,0.0008395768,0.0009102659,0.0006139516,0.0001158234,0.00008669632,0.00001404782,0.002591848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.375911,"threshold_uncertainty_score":0.9991271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344435499902274,"score_gpt":0.2377693883562192,"score_spread":0.2143250333571965,"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."}}