Concentrations of electrolytes, hormones, and other constituents in fresh postmortem blood and urine of fin whales (<i>Balaenoptera physalus</i>)
Bibliographic record
Abstract
Concentrations of various blood and urine constituents were measured on postmortem samples from 286 fin whales (Balaenoptera physalus) caught off Iceland during the summers of 19811989. Measurements were carried out on both serum and urine from 21 whales so that results could be compared. The mean serum urea concentration in fin whales was similar to that in odontocetes but 5 times higher than in domesticated terrestrial mammals. Serum triglyceride concentrations were twice as high as in fasting man and showed no diurnal peaks. Serum cortisol concentrations were about 2 times lower than in domestic mammals and showed neither diurnal variation nor a significant correlation with chase time (time from sighting until killing). Serum aldosterone concentrations were similar to those in bottlenose dolphins and, as expected, showed a negative correlation with urinary Na+concentration. Blood thyroxine levels correlated significantly (p < 0.003) with chase time. Mean urinary potassium concentrations were 6 times higher than average seawater levels, while sodium and chloride levels were about 23 times higher than in humans but never as high as those in seawater. Urinary magnesium levels were 45 times higher than in domestic animals but less than half those in seawater. Average urine osmolality was higher than in seawater.
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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) | 0.001 | 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".