Ecosystem dynamics and export production in the central and eastern equatorial Pacific: A modeling study of impact of ENSO
Bibliographic record
Abstract
Biogeochemical responses to physical changes associated with the El Niño/Southern Oscillation (ENSO) phenomenon are studied for the period of 1990–2001 using a physical‐biogeochemical model. During warm ENSO, the ferricline deepens in the central and eastern equatorial Pacific, resulting in low biomass and low export production. Zooplankton and large phytoplankton are more depressed than small phytoplankton in particular during the 1997–98 El Niño. The recovery from the warm ENSO alleviated iron stress, resulting in an increase of phytoplankton growth. In addition to extra iron input, the mid‐1998 blooms are also attributable to extremely low grazing pressure. The rapid turn to a cold ENSO in mid‐1998 may enhance export production by a factor of eight in the Niño3 area. Large phytoplankton are largely responsible for the increase of export production in the central and eastern equatorial Pacific.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".