{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001599647,0.00009468771,0.0001159266,0.0004433737,0.0001775246,0.000293171,0.00009042022,0.0001440664,0.001125464],"category_scores_gemma":[0.0006606795,0.00007837254,0.0001191353,0.0003242074,0.0001569785,0.0002328642,0.0002548334,0.00020592,0.0001397477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787861,"about_ca_system_score_gemma":0.0001047667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442175,"about_ca_topic_score_gemma":0.004526657,"domain_scores_codex":[0.9999403,0.000005295205,0.000005533424,0.00002035628,0.00001237442,0.00001613697],"domain_scores_gemma":[0.9996952,0.00006619198,0.00009402251,0.0000333005,0.00005310677,0.00005816384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003078717,0.00008059535,0.9059817,0.00006557394,0.00009243475,0.0002496653,0.0006593714,0.003101573,0.05880556,0.001610039,0.002394007,0.02665166],"study_design_scores_gemma":[0.00000408814,0.00001599258,0.9955543,0.000005969423,0.000007029736,0.00004114489,0.00009225371,0.002066151,0.001043442,0.0002940374,0.0008698089,0.00000583955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973462,0.000121179,0.0003743853,0.00008780763,0.00001340754,0.000004280947,0.0004035836,0.00003232681,0.001616776],"genre_scores_gemma":[0.9994859,0.00002654976,0.00007948891,0.00001100606,0.000006003752,0.000002489458,0.0002213349,0.000004427011,0.0001629065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442175,"threshold_uncertainty_score":0.004855931,"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."}}