Bibliographic record
Abstract
Fish out of water should, by definition, be uncomfortable, but amphibious fish appear to suffer no ill effects. Whether they are dragging themselves out to catch a snack or holing up in a decaying mangrove trunk for months to wait out the dry season, tiny mangrove rivulus (Kryptolebias marmoratus) are at ease in and out of water. According to Pat Wright and colleagues from the University of Guelph, Canada, and the University of California, Davis, USA, the versatile fish are able to convert their skins into ad hoc lungs by increasing the number of capillaries close to the surface to absorb more oxygen from their surroundings; however, Wright also wondered whether the beached fish improve other aspects of their oxygen delivery system to compensate for a lack of water.After transferring the adaptable creatures to damp boxes for periods ranging from a day up to a week, Wright and Tessa Blanchard measured: the point at which the oxygen carried in the fish's blood is no longer able to sustain their metabolic rate, how well the fish maintain their metabolic rates as the amount of oxygen available to them declines and how their metabolic rate altered over time. In addition, the pair measured the amount of oxrygen-carrying material in the blood and how quickly the genes that trigger blood capillary formation were activated.Impressively, the fish increased the amount of oxygen that they were able to extract directly from the air within a day of emerging from water – in line with increasing the amount of oxygen-carrying material in the blood – and were able to maintain their metabolic rate, despite inhaling less oxygen. In addition, Andrew Whitehead and Yunwei Dong from the University of California, Davis, USA, showed that the fish activate the genes that trigger blood capillary growth in the skin within an hour of leaving the water, to supplement the blood supply to the skin.However, it seemed to take a week for the fish to reduce their metabolic rate in order to further eke out their energy when starving during the dry season. The animals were also able to sustain their metabolic rate while inhaling less oxygen. And when the team compared the responses of fish from different locations – Florida, Honduras and Belize – the Honduras fish acclimated more rapidly to being out of water than the fish from Belize, which Wright says ties in with their ability to survive in the air for longer.So amphibious fish seem to tackle extended periods out of water in two stages: an initially brief period, which allows them to survive short episodes out of water, and a longer-term strategy, which allows them to endure the dry season.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".