{"id":"W2019352022","doi":"10.1103/physreve.68.036304","title":"Energy budgets in Charney-Hasegawa-Mima and surface quasigeostrophic turbulence","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Physics; Turbulence; Surface (topology); Bounded function; Kinetic energy; Infinity; Energy (signal processing); Inverse; Constraint (computer-aided design); Energy transfer; Classical mechanics; Mathematical physics; Mathematical analysis; Mechanics; Mathematics; Quantum mechanics; Geometry; Atomic physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004848853,0.0007178728,0.0006178799,0.0008320339,0.00116342,0.001843755,0.000854989,0.0009230284,0.001248686],"category_scores_gemma":[0.002080956,0.0003686485,0.0005867363,0.0005743237,0.002313842,0.002361839,0.00194717,0.0009008851,0.0001184895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904724,"about_ca_system_score_gemma":0.0009268192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008529502,"about_ca_topic_score_gemma":0.002906605,"domain_scores_codex":[0.999763,0.00004570416,0.00001392976,0.00003964225,0.00004113141,0.00009661723],"domain_scores_gemma":[0.9991795,0.0002618723,0.000181658,0.00004998172,0.00009454854,0.0002323713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003079464,0.0001230693,0.008024749,0.0001169089,0.00009670873,0.001101043,0.0004548923,0.4005238,0.02054589,0.5626224,0.0009018127,0.005180866],"study_design_scores_gemma":[0.00003312957,0.00004809268,0.003843161,0.00001104023,0.00002254151,0.0001266949,0.0001761654,0.8928547,0.001790733,0.1007333,0.0003167848,0.00004367057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704307,0.0005018035,0.02048939,0.0004025535,0.00003252557,0.00001916366,0.00006389001,0.00008588958,0.007973991],"genre_scores_gemma":[0.9979723,0.00008312058,0.001028423,0.00001786892,0.00000707292,0.00001228465,0.00002327177,0.000009350378,0.0008463745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008529502,"threshold_uncertainty_score":0.01695973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006158028783274387,"score_gpt":0.2500219924172064,"score_spread":0.243863963633932,"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."}}