{"id":"W4407669559","doi":"10.1029/2023jc020868","title":"Energy Cascades in Surface Semigeostrophic Turbulence: Implications for the Oceanic Submesoscale Flows","year":2025,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Energy cascade; Environmental science; Energy (signal processing); Meteorology; Atmospheric sciences; Mechanics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002384658,0.0004429306,0.0002837564,0.0005265403,0.0003769547,0.0006655764,0.0002233882,0.0003843947,0.0008109226],"category_scores_gemma":[0.0008540766,0.0001781434,0.0005568205,0.0001919048,0.0006201161,0.0005639797,0.0005173203,0.0003209405,0.00004246711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000503079,"about_ca_system_score_gemma":0.000257777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006044473,"about_ca_topic_score_gemma":0.001864137,"domain_scores_codex":[0.999938,0.00001580578,0.000005133539,0.000008173837,0.00001250328,0.00002039845],"domain_scores_gemma":[0.9997318,0.00008926071,0.00007711238,0.00002264142,0.00002403111,0.00005507348],"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":[0.0002102524,0.000176885,0.0384387,0.00003971915,0.00007381052,0.0004705313,0.0001094525,0.9114907,0.0408579,0.004380989,0.0002045658,0.003546555],"study_design_scores_gemma":[0.00002156158,0.00006325274,0.01829663,0.000005875022,0.00001040203,0.00002747452,0.00005296155,0.9782008,0.002192436,0.001035444,0.00008136076,0.00001167819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975393,0.00004338783,0.001555149,0.00006374576,0.000005885225,0.000008154276,0.000038133,0.00002853923,0.0007179422],"genre_scores_gemma":[0.9997776,0.00001406343,0.000145168,0.000003549359,0.000001508259,0.000001745846,0.000009438844,0.000002174533,0.00004466372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006044473,"threshold_uncertainty_score":0.01201856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638644541429041,"score_gpt":0.3078264484439199,"score_spread":0.2814400030296295,"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."}}