{"id":"W1994241858","doi":"10.1038/ncomms7862","title":"Seasonality in submesoscale turbulence","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":397,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mesoscale meteorology; Thermocline; Eddy; Baroclinity; Geostrophic wind; Mixed layer; Geostrophic current; Geology; Turbulence; Climatology; Atmospheric sciences; Environmental science; Oceanography; Meteorology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088926,0.0000648932,0.00008085302,0.000008589003,0.00008229527,0.00002592318,0.0007960995,0.000109769,0.00007776346],"category_scores_gemma":[0.000172239,0.0000547393,0.00002263042,0.0005948041,0.0001309166,0.0001754777,0.00003806226,0.0004705439,0.00005864491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004343628,"about_ca_system_score_gemma":0.00009257439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000386104,"about_ca_topic_score_gemma":0.008904461,"domain_scores_codex":[0.9994067,0.00008355204,0.0001109448,0.0001145564,0.0001424456,0.0001418199],"domain_scores_gemma":[0.9990662,0.0001357564,0.00003568807,0.0005878675,0.00006852956,0.0001059023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004651965,0.00002294769,0.9908478,0.000002470421,0.000002118443,7.896535e-7,0.0001066037,0.00005974581,2.544305e-7,0.0006435229,0.002070723,0.006238396],"study_design_scores_gemma":[0.0001348673,0.00001370487,0.92768,0.00001019653,0.000003296544,0.000003484356,0.0002102773,0.004475207,0.00000463123,0.003272798,0.06410229,0.00008923807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7841255,0.09149669,0.00008399789,0.009169397,0.0003148782,0.0002172481,0.00006909379,0.0001436858,0.1143795],"genre_scores_gemma":[0.9932667,0.0005973422,0.005493801,0.0004397296,0.00002164259,0.000001302084,0.0000816235,0.000001428283,0.00009643114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091412,"threshold_uncertainty_score":0.4968898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195665238426947,"score_gpt":0.2700408676464391,"score_spread":0.2380842152621697,"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."}}