Covariation in feeding success, size-at-age and growth in larval radiated shanny (Ulvaria subbifurcata): insights based on individuals
Bibliographic record
Abstract
Many studies infer that large size-at-age and/or fast growth rate confer a survival advantage to individual fish larvae by decreasing the time spent in the vulnerable larval stages. An implicit but generally unstated assumption is that one reason why some individuals grow faster than others is that they are better swimmers and, thus, more adept at catching prey and avoiding predators. Here we provide a direct test of the link between foraging success, length-at-age and growth history by examining the effect of size-at-age and growth rate (via otolith microstructure) on individual foraging success of radiated shanny (Ulvaria subbifurcata) larvae from coastal Newfoundland. Larvae that were large-at-age were more likely to have a larger volume of prey in their stomachs than were individuals that were small-at-age. Similarly, individuals with faster growth rates were also more likely to have more food in their stomachs than were those with slower growth rates, although this effect was both age-dependent and not as pronounced as the size-at-age effect. In terms of larval diets, because neither the mean nor the SD of prey-size in stomachs was correlated with length-at-age, it appears that individuals that were large-at-age did not prey on either larger or more diverse prey sizes than did individuals that were small-at-age. Interestingly, however, the mean prey size in stomachs was positively correlated with growth rate, suggesting a possible role for acquired behaviour or experience in patterns of prey selection by radiated shanny larvae.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".