Rearing conditions differentially affect behavioural phenotypes of male “jack” and “hooknose” Chinook salmon and their sisters in both fresh and salt water
Bibliographic record
Abstract
Alternative reproductive tactics are widespread in fishes. In Pacific salmon, males either become a competitive hooknose, or a sneaker jack, which is undesirable in aquaculture when overabundant. Juveniles often experience accelerated growth prior to becoming jacks, potentially caused by increased competitiveness. We tested the behaviour of hatchery-reared Chinook salmon (Oncorhynchus tshawytscha) in fresh water and after 1 year in salt water. We also tested the effects of freshwater rearing density (100, 50, or 35 fish per 200 L), food ration (high or low), sire (jack or hooknose) for jacks, hooknoses, and females with and without confirmed jack siblings. Sisters of jacks were further identified to test whether females closely related to jacks also showed behavioural differences. Overall, jacks did not behave as predicted; rearing conditions were the strongest determinant of behaviour, and jack sisters behaved differently than jacks and other females. Our study underscores the complexities of jack behaviour, and of females closely related to jacks, at all development stages and supports the use of behavioural screenings to regulate jacking rates in hatcheries by identifying jack sisters.
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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".