PCR‐based markers detect genetic variation at growth and immune function‐related loci in chinook salmon (<i>Oncorhynchus tshawytscha</i>)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract We developed seven polymerase chain reaction (PCR) based markers that detect genetic variation at loci related to growth (four) and immune function (three) in chinook salmon. One assay shows a length polymorphism following PCR; the others show restriction fragment length polymorphisms (PCR‐RFLP). Two alleles were detected in each assay, and the common alleles were found at frequencies of 0.67–0.95 in seven wild populations in British Columbia, Canada. These loci also amplified in other salmonid species. These markers, by detecting variation linked to genes with high fitness relevance, are expected to be useful in a range of theoretical and applied studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 it