Hormonal regulation of feeding in the Dungeness crab, <i>Cancer magister</i>
Bibliographic record
Abstract
Despite being classed as a weak osmoregulator, adult Cancer magister often venture into estuaries, presumably to feed. Nevertheless acute low salinity exposure results in both a decrease in the likelihood of feeding and the amount of food consumed. We previously hypothesized that the reduced feeding activity may be the result of energetic limitation due to the concomitant demands associated with osmoregulation. However, there appeared to be no additional increase in metabolic rate when crabs digested during hyposaline exposure. Based on this data we hypothesized that feeding motivation and food consumption may be under hormonal control, rather than being energetically limited. Following eye stalk ablation (thereby removing the hormone producing sinus gland), the amount of food that crabs consumed in 50% SW was greater than that of intact crabs. Ablated crabs even attempted to feed in freshwater, whereas intact crabs would not feed in salinities below 40% SW. Eye stalk removal does not inhibit the crab's ability to detect low salinity. This data then suggests that low salinity exposure may be a contributing factor in controlling the release of hormones that regulate the feeding response.
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 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 | 0.000 | 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".