Overview of biological and chemical conditions on the Flemish Cap with comparisons of the Grand Banks Shelf and slope waters during 1996-2003
Bibliographic record
Abstract
The seasonal dynamics of nutrients, phytoplankton and zooplankton populations are described for the period 1996-2003 along an oceanographic section extending from the inshore across the Grand Banks (GB) and Flemish Cap (FC).We present evidence of enhanced inventories of nitrate and silicate and biological productivity on the FC and adjacent Slope (SL) waters compared to the Grand Banks Shelf (GBS).The seasonal occupations along the oceanographic section indicated persistent and enhanced inventories of nitrate and silicate and the potential for higher nutrient fluxes in the SL water and the FC, in contrast to the GBS.The shallow water of the Flemish Cap combined with the proximity of large-scale oceanic circulation around the Bank, including the Labrador Current (LC) and North Atlantic Current (NAC) which generate an anticyclonic gyre, elevate water temperatures, and entrain NAC water rich in inorganic dissolved nutrients, that act to enhance primary and secondary production.The southerly flow of the LC through the Flemish Pass and northeastern flank of the FC act to transport subarctic copepod species from northern regions to the FC and SL waters.These subarctic Calanoid copepods tend to be much larger in body size compared to the community observed on the GBS and contribute to a significant increase in biomass on the FC and SL waters.Fluxes of "new" nitrogen (principally nitrate) delivered to the FC and SL waters appear to support significant levels of "new" primary productivity resulting in a higher productive capacity compared to the adjacent GBS environment.The biomass estimates obtained from the dominant copepod genera from the Continuous Plankton Recorder (CPR) survey and Atlantic Zonal Monitoring Program (AZMP) provide evidence in support of the hypothesis of higher primary productivity that enhances secondary production over the FC and adjacent waters.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".