Effects of body mass on physiological and anatomical parameters of mature salmon: evidence against a universal heart rate scaling exponent
Bibliographic record
Abstract
The influence of body mass (M(b)) on the physiology of large, adult fish is poorly understood, in part because of the logistical difficulties of studying large individuals. For the first time, this study quantified the influence of M(b) on the resting heart rate (f(H)), blood properties and organ masses of adults of a large-growing fish species, the Chinook salmon (Oncorhynchus tshawytscha). Surgically implanted biologgers measured f(H) and acceleration activity in sexually mature, male fish ranging in M(b) from 2.7 to 16.8 kg while they roamed freely in a controlled water body at ∼8°C. Blood parameters (at surgery and at death) and body organ masses (at death) were measured to investigate interrelationships with M(b). The scaling exponents for both f(H) and acceleration activity were not significantly different from zero. The lack of scaling of f(H) with M(b) contrasts with the situation for birds and mammals. All blood parameters were independent of M(b), while the masses of the compact myocardium, ventricle and spleen each scaled near-isometrically with M(b). These data raise the possibility that blood oxygen carrying capacity, mass-specific cardiac output and cardiac power output are maintained across M(b) in adult Chinook salmon. Biologging and biotelemetry should advance investigations into the effects of M(b) on the physiology and behaviour of large fish, where current knowledge lags far behind that of birds and mammals.
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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 | 0.002 |
| 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".