Genetic influence of parr versus anadromous sires on the life histories of Atlantic salmon (<i>Salmo salar</i>)
Bibliographic record
Abstract
The potential for sire size to influence life history patterns from fry to sea age at maturity was established by rearing individually identified half-sibs of a single dam and either small (parr) or large (anadromous) sires in a common tank environment. Male sexual maturity was higher among progeny of small versus large sires at both parr (age 0+, 50% versus 32%, p = 0.065) and grilse stages (age 2+, 23% versus 10%, p = 0.034). In contrast, rates of female grilse (6.8%) and smolt age 1+ (>95%) were independent of sire size. Logistic regression indicated that grilse of small sires had an asymptote body weight (BW) 30% lower than grilse of large sires (1.0 versus 1.4 kg). In comparison, repeated measures analysis of BW, fork length (FL), and condition factor (CF) indicated that growth changes associated with grilsing were independent of sire size and sex. The highest-order interaction for which sire size was significant was day × sire × sex (p < 0.034). Independent of sire size, sexual maturation at both age 0+ and age 2+ was associated with a high CF, whereas smolting at age 1+ was associated with a high BW and FL but low CF.
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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 | 0.001 | 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 | 0.000 |
| 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".