Depth distribution during the life history of Neocalanus plumchrus in the Strait of Georgia
Bibliographic record
Abstract
Neocalanus plumchrus is the most common large copepod in the Northeast Pacific, and plays an important role in the ecosystems of that area; it is particularly common in the Strait of Georgia. In this study, seasonal changes in the vertical distribution of late-stage N. plumchrus at a single site in the Strait of Georgia were measured with an optical plankton counter (OPC) and depth-stratified net samples. Particles measured in situ by the OPC were compared to an empirically measured size distribution for live N. plumchrus. Below 200 m (primarily overwintering individuals), OPC estimated abundance usually corresponded to abundance estimates from net samples. Abundance in the top 100 m was consistently overestimated by the OPC, relative to results from net samples. During overwintering, the vertical distribution shifted downward over time, coinciding with deepwater renewal events in the Strait, and was followed by a partial upward spawning migration by newly moulted adults. Spatial structure at several scales was inconsistent, but significantly different from random. A simple simulation model of depth as a function of time showed that both hydrographic changes and endogenous changes within the animals may influence depth distributions, and suggests that maintenance of position in the water column during diapause is not a passive process.
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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 | 0.000 |
| 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".