A comparison of feeding physiology in cultured and wild blue mussels Mytilus edulis and M. trossulus
Bibliographic record
Abstract
The objective was to improve carrying capacity models by providing standardized values for clearance, ingestion, filtration and oxygen uptake for cultured and wild, Mytilus edulis and M. trossulus from Newfoundland. Clearance and ingestion rates of small and large M. edulis and M. trossulus were also compared. -- Measured physiological rates were not significantly different between cultured and wild mussels. Mytilus trossulus demonstrated significantly higher rates of clearance and ingestion compared with M. edulis. Rates of clearance and ingestion generally increased with an increase in food supply. Seasonal patterns were observed for all variables. Larger mussels had higher rates of clearance and ingestion than smaller mussels and should be socked at lower densities. Smaller mussels should be socked at a lower biomass per sock as they have higher clearance per unit biomass. -- Stock size and species proportions, in addition to temperature variability and food availability, contribute to the overall stock food demand. Socking and stocking biomass and site layouts should be adjusted to minimize the risk of exceeding site carrying capacity.
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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 | 0.000 | 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".