Pacific salmon (<i>Oncorhynchus </i>spp.) early marine feeding patterns based on <sup>15</sup>N/<sup>14</sup>N and <sup>13</sup>C/<sup>12</sup>C in Prince William Sound, Alaska
Bibliographic record
Abstract
Nitrogen and carbon mass and stable isotope composition among cohorts of Pacific salmon (Oncorhynchus spp.) released from Prince William Sound, Alaska, hatcheries in 1994 varied widely, suggesting a range in early marine feeding patterns. Analyses consisted of whole-body stable carbon and nitrogen mass and stable isotope composition of selected release-date cohorts that had been identified by implanted coded wire tags (CWT). Nitrogen isotopic and mass shifts suggested that the initial protein pool within individual fish was replaced at different rates among cohorts. There was a notable difference in carbon source dependency among hatcheries. Salmon from the hatchery closest to the Gulf of Alaska had a 13C-depleted carbon signature consistent with Gulf carbon, whereas salmon from the other hatcheries had Sound signatures. Differences in early marine feeding histories among 1994 hatchery-release-date cohorts reconstructed from the stable isotope composition of fry bore no relationship to marine survival pattern. Varied survival rates of 1994 Prince William Sound hatchery salmon were more likely related to the fry size at time of release, the observed differences in growth rate among release cohorts, and predation refuge effects of pen-rearing.
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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".