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Record W1968999780 · doi:10.1242/jeb.00246

BORN TO DIVE

2003· article· en· W1968999780 on OpenAlexaboutno aff
Sarah Tilley

Bibliographic record

VenueJournal of Experimental Biology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceBiologyZoology

Abstract

fetched live from OpenAlex

Muskrats live in an extreme environment where temperatures can soar to 30°C during summer and drop to –40°C in winter. But being partial to plant tubers, winter means that muskrats have to keep diving under the ice covering their marsh to find food. `What really hits you is how much their swimming behaviour changes in the winter', explains Robert MacArthur who has studied muskrats for a number of years. But when he tried to address the question of what made a muskrat a good diver, he found more questions than answers.Originally MacArthur wanted to understand how such small animals maintained their body temperature in such extremes, and this initial question has led to further studies of their diving. Muskrats dive from a very early age –if a mother is disturbed she will dive into the water dragging her young in with her. `I think of them as little prairie seals,' jokes MacArthur. His work then progressed onto the question of what makes a good diver. It is thought that adult animals are more superior divers than juveniles because experiments predict that they would respire more slowly underwater and store more oxygen. While it is often thought that juveniles acquire these abilities in the normal course of diving, few experiments have looked specifically at whether dive experience improves the physiological capability to dive. So MacArthur and his colleagues in Winnipeg, Canada, trained groups of muskrats to either dive or swim at the surface in a maze in search of food(p. 1153).Previous experiments on seals and tufted ducks have shown that diving experience alters how oxygen is stored in the body Sure enough, when the Winnipeg group checked the muskrat blood they found levels of the oxygen-carrying protein haemoglobin were raised. But this was the only significant change they found.`One surprise is that we didn't see the expected change in myoglobin levels', explains MacArthur. Myoglobin, which carries oxygen in the muscles,is thought to be important in the development of diving ability in marine birds and mammals. MacArthur already knew that wild muskrats store significantly more oxygen in their blood and muscles during winter when compared to the summer months. But without seeing altered myoglobin levels, or other changes that they can attribute to diving experience, it is hard for MacArthur and his colleagues to know what causes this seasonal change.So it's back to the lab for MacArthur. There are many other aspects of diving muskrats that he would like to take a closer look at. While this experiment was carefully designed, water temperature was not considered and he wants to study this further. He would also like to see how longer dive times would affect the results of this study. `Their dive times were typical of nature', explains MacArthur, but they can dive for twice as long as the maze allowed for. This also raises another question: `At what point do they become anaerobic?' MacArthur is already looking at this by examining lactic acid kinetics in these mammals. Another option would to be to train `naïve'muskrats – juveniles that have never dived – in his maze. But there is always the possibility that muskrats are just born to dive.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.351
Threshold uncertainty score0.926

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.3510.231

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.

Opus teacher head0.021
GPT teacher head0.280
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

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