{"id":"W1986283049","doi":"10.1007/s00382-010-0834-y","title":"Diagnostic budget study of the internal variability in ensemble simulations of the Canadian RCM","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Diabatic; Covariance; Climatology; Environmental science; Potential vorticity; Vorticity; Statistical physics; Meteorology; Atmospheric sciences; Physics; Mathematics; Statistics; Geology; Thermodynamics; Adiabatic process","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":[0.001298034,0.0005493318,0.0005627528,0.0008853919,0.001062912,0.00100196,0.001670303,0.0008650302,0.00178471],"category_scores_gemma":[0.007165034,0.0004209306,0.0004995393,0.001377891,0.0005343852,0.0008216869,0.000584064,0.0007032838,0.0001069451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008903832,"about_ca_system_score_gemma":0.008579428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9004236,"about_ca_topic_score_gemma":0.8015661,"domain_scores_codex":[0.999707,0.00006182265,0.00002367342,0.00005849943,0.00007364335,0.00007524595],"domain_scores_gemma":[0.9981693,0.0006844171,0.0001486471,0.000165479,0.0006872335,0.0001448471],"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":[0.0002221752,0.0001513774,0.06315182,0.00007089317,0.0001838689,0.0001379985,0.000179749,0.9152867,0.002792792,0.004672248,0.002076922,0.01107351],"study_design_scores_gemma":[0.00005294337,0.00001892112,0.01971448,0.000009162484,0.00003987269,0.00001289091,0.00006712241,0.9783091,0.0006507403,0.0003739822,0.0007301038,0.0000206476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908609,0.0002384196,0.002018067,0.0005195251,0.0000283612,0.00004380711,0.002170618,0.0001063584,0.00401394],"genre_scores_gemma":[0.9976326,0.00005633839,0.001142017,0.00004022401,0.000006791259,0.00001372138,0.0006091889,0.00002906384,0.0004699846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09957641,"threshold_uncertainty_score":0.2003256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166739246738381,"score_gpt":0.2284254033819504,"score_spread":0.2167580109145666,"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."}}