{"id":"W2176927073","doi":"10.1175/1520-0442(2004)017<0003:ioaeor>2.0.co;2","title":"Impact of an Eddy-Permitting Ocean Resolution on Control and Climate Change Simulations with a Global Coupled GCM","year":2003,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Environmental science; Climate model; Eddy; GCM transcription factors; Sea surface temperature; Ocean current; Ocean general circulation model; Atmospheric model; Zonal and meridional; Atmospheric sciences; Climate change; General Circulation Model; Geology; Meteorology; Oceanography; Geography; Turbulence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000958753,0.0001428232,0.0002988009,0.00004331497,0.0001451643,0.0000325972,0.00009343911,0.00006296532,0.0001393929],"category_scores_gemma":[0.0001142823,0.0001012367,0.00009126888,0.0001620954,0.0001122341,0.0005164391,0.00002222454,0.0001279303,0.00000381771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039085,"about_ca_system_score_gemma":0.00002024431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000658049,"about_ca_topic_score_gemma":0.00008687889,"domain_scores_codex":[0.9986131,0.0001382228,0.0004537647,0.0001649443,0.0003088112,0.0003211452],"domain_scores_gemma":[0.9989992,0.0001179861,0.0004934939,0.0001755759,0.00004424362,0.0001694661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001315153,0.0006001719,0.7707275,0.00003501001,0.00005627384,0.00002313005,0.0005672667,0.2202008,0.004188119,0.0009470245,0.000009346469,0.001330244],"study_design_scores_gemma":[0.004284366,0.003101285,0.6244718,0.0001744696,0.00015282,0.0002241546,0.0001466971,0.3662933,0.00006224358,0.0008032907,0.000045291,0.0002403027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984533,0.0000281413,0.0002072162,0.00008575115,0.00004338185,0.0001997368,0.0001055472,0.000009176922,0.0008678135],"genre_scores_gemma":[0.998326,0.0001471546,0.001398537,0.00007932611,0.00003438925,9.250182e-7,0.000002684033,0.00001011517,8.396753e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1462557,"threshold_uncertainty_score":0.4128312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048740973443995,"score_gpt":0.2927960249182784,"score_spread":0.2723086151838385,"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."}}