Biotic influences on drift behaviour of larval white sturgeon (<i>Acipenser transmontanus</i>)
Bibliographic record
Abstract
Abstract Drift by larval white sturgeon (Acipenser transmontanus) results in an ontological habitat shift during early life that may be influenced by changes in the trade‐off between mortality risk and growth potential. Despite the importance of early life history to recruitment and conservation, for many species, including white sturgeon, we have a limited understanding of the mechanistic drivers of drift. We tested if two biotic factors, conspecific density and timing of food availability during the yolksac larvae stage, influenced the timing of drift behaviour. We evaluated larval drift timing for yolksac larvae reared in laboratory mesocosms at two densities (10 or 20 larvae) and three feeding initiation times (before exogenous feeding, at the initiation of exogenous feeding, or starvation). We found that drift occurred at 13 days post‐hatch (dph) overall, 2 days after the shift from the yolksac stage to the feeding stage (11 dph at 14°C). The timing of food availability in the fed treatments did not affect the timing of larval drift, nor did the density of conspecifics. Starvation delayed drift timing by 2 days, to15 dph. This delay of drift from a habitat with no food availability may disadvantage starving larvae and reduce growth potential.
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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 | 0.000 | 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".