{"id":"W2783061408","doi":"10.1175/jpo-d-17-0177.1","title":"Covariability of Near-Surface Wind Speed Statistics and Mesoscale Sea Surface Temperature Fluctuations","year":2018,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Mesoscale meteorology; Thermocline; Sea surface temperature; Climatology; Buoy; Wind stress; Entrainment (biomusicology); Wind speed; Geology; Boundary current; Environmental science; Wind shear; Coupling (piping); Planetary boundary layer; Ocean current; Atmospheric sciences; Oceanography; Meteorology; Turbulence; Physics","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":[0.0003590973,0.0001413823,0.0003502204,0.00003583657,0.0001950559,0.00007299828,0.0001237289,0.00006542613,0.00008265416],"category_scores_gemma":[0.00006771585,0.00009939124,0.0001491041,0.0004438562,0.0005498381,0.0002086962,0.00001331463,0.0002737095,0.000004984584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002731752,"about_ca_system_score_gemma":0.00007948298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003412472,"about_ca_topic_score_gemma":0.00001622461,"domain_scores_codex":[0.9987769,0.0001132532,0.0003594674,0.0001489695,0.000382322,0.0002191468],"domain_scores_gemma":[0.9986809,0.0003077377,0.0002963955,0.0001411623,0.0003825597,0.000191176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007090947,0.0007373603,0.8990824,0.0002760021,0.0006743301,0.00005383967,0.007082607,0.04704041,0.02709819,0.0005884361,0.009334654,0.007322715],"study_design_scores_gemma":[0.0009410473,0.001628949,0.8048694,0.000101636,0.0001820235,0.00005510125,0.0005125882,0.1814567,0.003270511,0.005545622,0.001148312,0.0002880364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985603,0.0001463775,0.0001265703,0.0001506286,0.0003006939,0.00007574527,0.0002825835,0.000006238527,0.0003508444],"genre_scores_gemma":[0.9872799,0.00002479664,0.01228851,0.00005423725,0.0003110572,6.426643e-11,0.00001407288,0.000004619183,0.000022804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344163,"threshold_uncertainty_score":0.4053057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007426110391514227,"score_gpt":0.2261296288403329,"score_spread":0.2187035184488187,"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."}}