Spatial variation and transport of abundant copepod taxa in the southern Gulf of St. Lawrence in autumn
Bibliographic record
Abstract
Abstract The spatial distribution of zooplankton is influenced by complex interactions among population dynamics, vertical positioning and advection. We used empirical observations and particle tracking simulations to investigate variation in horizontal distribution of Calanus spp. and three neritic copepod taxa (Acartia spp., Pseudocalanus sp. and Temora longicornis) in the southern Gulf of St. Lawrence (sGSL) in October 2018. These copepods are potential prey for fish and the endangered North Atlantic right whale, Eubalaena glacialis. We quantified horizontal variation in abundance from a plankton survey, and obtained vertical distributions from a subset of locations and a process study conducted over ~1 day. Horizontal distributions of Calanus finmarchicus and Pseudocalanus sp. were widespread, whereas those of Calanus hyperboreus and C. glacialis were centred in the interior of the sGSL and those of Acartia spp. and T. longicornis were centred on the western side. Horizontal distributions of C. hyperboreus–C. glacialis and C. finmarchicus–Pseudocalanus sp. pairs were highly correlated. Contrasting distributions among C. finmarchicus and its congeners reflect interspecific differences in life history strategy and its interaction with ocean circulation. In autumn, a shift to increased current strength and flow-through circulation may lead to enhanced losses of Calanus spp. in the absence of upstream replenishment.
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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 | 0.001 |
| 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) | 0.000 | 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".