{"id":"W1979342243","doi":"10.1175/jpo-d-14-0108.1","title":"Submesoscale Water-Mass Spectra in the Sargasso Sea","year":2015,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research","keywords":"Pycnocline; Geology; Wavenumber; Baroclinity; Mixed layer; Eddy; Temperature salinity diagrams; Internal wave; Forcing (mathematics); Stratification (seeds); Wavelength; Thermocline; Rossby wave; Geophysics; Turbulence; Spectral line; Oceanography; Atmospheric sciences; Salinity; Mechanics; Physics","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":[0.0007672846,0.0001659304,0.0003065329,0.00009037337,0.00007209565,0.00009435704,0.0005685969,0.00004624478,0.00005668829],"category_scores_gemma":[0.00003612249,0.00007913007,0.0002947668,0.0009345564,0.0001665847,0.000455492,0.000007438988,0.0003992493,0.00003117661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003639195,"about_ca_system_score_gemma":0.00005790301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003822748,"about_ca_topic_score_gemma":0.00005264026,"domain_scores_codex":[0.9982992,0.0001417355,0.0003439461,0.0001373516,0.0006887993,0.0003889992],"domain_scores_gemma":[0.9992096,0.00015273,0.0001586943,0.0001479592,0.0001144878,0.0002164646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001152298,0.0002161958,0.9899649,0.00001697276,0.00004880184,0.0001278131,0.001945874,0.00101736,0.00008474312,0.0001239513,0.003050587,0.003287584],"study_design_scores_gemma":[0.00289159,0.003654429,0.8550253,0.0001155798,0.0001799542,0.0002479288,0.005920618,0.004920636,0.003460133,0.09039253,0.03242467,0.0007666496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920127,0.0007876593,0.0001946421,0.0008695326,0.0002224657,0.00007606179,0.000008005862,0.00001280223,0.005816157],"genre_scores_gemma":[0.9985085,0.00005323979,0.0005020143,0.0003284485,0.0005859593,1.629381e-7,0.000006241737,0.000004105218,0.00001132229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349396,"threshold_uncertainty_score":0.322683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341267619549911,"score_gpt":0.2137957234898616,"score_spread":0.2003830472943625,"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."}}