{"id":"W4384937141","doi":"10.1016/j.ocemod.2023.102241","title":"Verification and intercomparison of global ocean Eulerian near-surface currents","year":2023,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Bureau of Meteorology, Australian Government; Department of Defence, Australian Government; Commonwealth Scientific and Industrial Research Organisation; Met Office; Australian Government; National Computational Infrastructure","keywords":"Data assimilation; Ocean current; Meteorology; Zonal and meridional; Climatology; Environmental science; Geology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782924,0.0001154868,0.0001598999,0.000006673375,0.0001292315,0.00006071167,0.0001556029,0.00004846713,0.000050124],"category_scores_gemma":[0.00000699764,0.0001053638,0.00003566732,0.0005527599,0.0001022386,0.000199818,0.00001447204,0.0000743331,0.00003541191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002583607,"about_ca_system_score_gemma":0.00003140929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002814735,"about_ca_topic_score_gemma":0.00001851692,"domain_scores_codex":[0.9991257,0.00002505489,0.0002144499,0.0002387628,0.0001773172,0.0002187175],"domain_scores_gemma":[0.9996257,0.00003247079,0.00008884382,0.0001260113,0.0000348762,0.00009211217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001839036,0.000008786662,0.6884412,0.00005127814,0.00001036445,0.000001130765,0.0002388179,0.3024499,0.000002136414,0.00004877273,0.000306123,0.008423183],"study_design_scores_gemma":[0.000133321,0.00004218161,0.05184286,0.00004657719,0.00001223334,0.000001807798,0.0003427129,0.9455869,0.00002990744,0.001184979,0.0006578673,0.0001186899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989127,0.0009110763,0.008572286,0.00005917873,0.0001837277,0.00007135265,0.00004612152,0.00009428024,0.000934986],"genre_scores_gemma":[0.9963136,0.0004237115,0.0031185,0.00001645253,0.00002822483,2.895333e-8,0.00007163749,0.000003613601,0.0000241949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.643137,"threshold_uncertainty_score":0.4296613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498637490091465,"score_gpt":0.2344518932997484,"score_spread":0.2094655183988338,"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."}}