Changes in the Condition Factor Have an Impact on Metabolic Rate and Swimming Performance Relationships in Atlantic Cod (<i>Gadus morhua</i>L.)
Bibliographic record
Abstract
In the field, Atlantic cod face seasonal changes in food availability that in turn lead to changes in condition. To examine the physiological consequences of these changes in condition, we measured routine metabolic rate (RMR) to estimate standard metabolic rate (SMR), active metabolic rate (AMR), aerobic scope, critical swimming speed (Ucrit), cost of transport, sprint performance, time to exhaustion, and postexhaustion metabolic rate (EMR) for 24 Atlantic cod from the Gulf of St. Lawrence. Cod were measured at their initial condition (condition factor of 0.676+/-0.076) and after 9 wk of feeding (condition factor of 0.923+/-0.096). These levels of condition are representative of wild cod in the Gulf of St. Lawrence during the spring and during the fall-early winter, respectively. The improved condition did not change mass-specific SMR. However, mass-specific AMR, aerobic scope, and EMR decreased with the improvement in condition. The various measures of swimming performance were affected differently. Ucrit increased and cost of transport at 1.3 and 1.5 body lengths s(-1) decreased with improved condition, but the cost of transport at 0.3, 0.9, 1.1, 1.7, and 1.9 body lengths s(-1), sprint performance, and time to exhaustion did not change. Hierarchies for the speed at first burst-coast, the proportion of Ucrit supported by burst-coasts, and time to exhaustion were maintained with the improvement in condition. The relationships between metabolic rates and swimming performance differed with condition level, with stronger correlations apparent in the cod at their initial condition. Given the low condition of wild cod stocks, these responses indicate that reduced performance, due to both maintenance of metabolic expenditures and modified swimming capacities, may impair survival under conditions of reduced food availability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".