Stock-specific ocean distribution and migration of chum salmon
Bibliographic record
Abstract
Abstract: Chum salmon (Oncorhynchus keta) is a major pelagic fish species in the Bering Sea and North Pacific ecosystems. The stock-specific ocean distribution of chum salmon was estimated by genetic stock identification (GSI) and hatchery otolith marks. Fish were caught by 1-h trawls at 98 stations in the Bering Sea, North Pacific Ocean and Gulf of Alaska during the early summer (June/July) and late summer/early fall (August/September) of 2003. Tissue samples were collected from chum salmon (n = 3,980) and run for 20 allozyme loci to estimate the stock composition of mixtures. In addition, otoliths were collected from chum salmon (n = 4,424) and examined for mark patterns to determine hatchery origin. The GSI-estimates combined with catch data (CPUE) indicated that the ocean distribution patterns of immature chum salmon were different among eleven regional stocks. Japanese stocks were mainly distributed in the Bering Sea during summer and early fall. The distribution of Russian (primarily northern Russian) stocks was similar to that of Japanese chum salmon, but they also spread into the North Pacific Ocean. Northwest Alaska stocks including fall runs in the Yukon River were relatively abundant at the southern edge (50°N) of the Gulf of Alaska and eastern North Pacific Ocean. Alaska Peninsula/Kodiak Island
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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".