Corrigendum: Turbulent diapycnal fluxes as a pilot Essential Ocean Variable
Bibliographic record
Abstract
Descrip,on Mathema,cal Defini,on Units Essen,al Ocean Variable □□ ! , □□ " , □□ # , □□ $ Subsurface turbulent fluxes □□ ! = - □□ □□ % {□□ & □□ & } ≈ □□ ' □□ ( W kg -1 □□ " = -□□□□ ) {□□ & □□ & } ≈ □□□□ ) □□ * □□□□ □□□□ W m -2 □□ # = -{□□ & □□ & } ≈ □□ # □□□□ □□□□ psu m s-1 □□ $ = -{□□ & □□ & } ≈ □□ $ □□□□ □□□□ [C] m sK m -1 , psu m -1 , [C] m -1b is buoyancy; q is enthalpy; S is the salinity concentration; and C is an arbitrary scalar tracer concentration. u′,v′,w′ are microscale perturbations of ocean velocities. □□ is the water density. g is the gravitational constant. N is the buoyancy frequency. cp is the water thermal capacity. □□ is the potential temperature. k0,kc represents the wavenumber range for spectral integration. □□ $ ! and □□ & ! are the spectra of vertical shear and temperature gradient.Reminder: Figures, tables, and images will be published under a Creative Commons CC-BY licence and permission must be obtained for use of copyrighted material from other sources (including re-published/adapted/modified/partial figures and images from the internet). It is the responsibility of the authors to acquire the licenses, to follow any citation instructions requested by third-party rights holders, and cover any supplementary charges.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.090 | 0.076 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".