Allelic and haplotypic diversity at the major histocompatibility class II within domesticated Australian Atlantic salmon (Salmo salar L.)
Bibliographic record
Abstract
Variation within the major histocompatibility (MH) class II alpha gene (Sasa-DAA) was \ncompared between domesticated Australian Atlantic salmon and their ancestral Canadian \npopulation. The level of Sasa-DAA and MH class II beta gene (Sasa-DAB) sequence variation \nwas also examined within the Australian population and compared with that published for \nEuropean Atlantic salmon populations. In contrast to variation previously reported for noncoding \nmicrosatellite loci, a high level of MH class II allelic variation has been maintained \nwithin the domesticated Australian populations. Furthermore, a high level of Sasa-DAA and \nSasa-DAB allele sequence diversity was also observed and exceeded that reported for other \ncultured Atlantic salmon populations. The number of Sasa-DAB allele sequences (14) surpassed \nthe number of Sasa-DAA allele sequences (9) to produce 14 unique class II haplotypes. We \nconclude that the Australian Atlantic salmon populations show high MH class II allelic and \nhaplotypic variation compared with both its ancestral Canadian population and other cultured \nAtlantic salmon populations.
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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 | 0.001 | 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".