From behaviour to bathymetric ranges: examining the \nresponses of marine invertebrates to hydrostatic pressure
Bibliographic record
Abstract
Although hydrostatic pressure is one of the most prominent abiotic drivers of faunal \nbathymetric ranges, it is one of the least understood. As climate change drives warmer \ntemperatures, it is hypothesized that benthic communities may undergo vertical shifts \nfrom shallow to deeper depths. Expanding our understanding of the impact of pressure on \nmarine organisms is therefore important. Here, I first synthesized and analyzed >130 \nstudies reporting survival of >260 shallow and deep-sea taxa after exposure to non-native \npressure. Many deep-sea species survived and bred under low or atmospheric pressure \n(slightly below sea surface depth), especially those from higher latitudes, and tolerance in \nadults was influenced by phylum. Next, I used high-pressure chambers to test the \nresponse of several subtidal echinoderms to various pressure levels, durations and pH \nconditions. Responses to acute pressure shifts suggest that deep-sea species are relatively \ntolerant to depressurization, but shallow-water species are less likely to maintain critical \nbehaviours if moved to pressures beyond their current bathymetric ranges.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".