Bibliographic record
Abstract
A modeling study was conducted to investigate the effects of time-dependent mesoscale meandering of the North Equatorial Current on a pelagic ecosystem in the southwestern Canary Basin. The North Equatorial Current jet was represented as a quasi-geostrophic flow using a two-layer model; a standard bulk mixed layer model is included. Two cases for the biological/physical coupled model were examined: (a) a nutrient-phytoplankton-zooplankton (APZ) model and (b) the addition of a sinking detritus pool (APZD) in the ecosystem. The horizontal length scale of simulated eddies is 100 to 200 km. The surface eddy kinetic energy has a peak value of 110 cm*/s* and a mean value of 26 cm*/s* in the simulated North Equatorial Current. Maximum vertical velocity is of the order of 1.5 m/day at 100 m depth, the base of the mixed layer. The additional nutrients due to eddy upwelling lead to a maximum increase of phytoplankton biomass up to 26% located at the edge of eddies. This trend is even more pronounced when introducing a detritus pool with a 1 m/day sinking velocity into the ecosystem (33%). When upwelling events are seldom present at “mooring” sites, it is the particulate organic carbon input by horizontal advection which feeds the carbon loss by detritus sinking. At “mooring” sites undergoing upwelling events, the upwelled carbon flux largely dominates losses by sedimentation and leads to a 10% enhancement of the sinking exported carbon flux. When the eddies are resolved, the mean values of the primary and exported productions in the jet zone are doubled. The results suggest that the vertical motion due to eddies and eddy-eddy interactions in a weak (10 cm/s) horizontal current such as the North Equatorial Current can be a non-negligible source of nitrogen-nutrients for oceanic plankton production in the mixed layer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.002 |
| Insufficient payload (model declined to judge) | 0.987 | 0.988 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".