Short Communication: New alleles at the BoLA-DQA1 locus in Holstein–Fresian cattle
Bibliographic record
Abstract
Kułajaj, D., Pokorska, J., Ormian, M. and Dusza, M. 2015. Short Communication: New alleles at the BoLA-DQA1 locus in Holstein Fresian cattle. Can. J. Anim. Sci. 95: 161–164. The aim of the study was to analyze genetic polymorphism at locus BoLA-DQA1 in Polish Holstein-Friesian cattle, using next generation sequencing technology (Miseq sequencer – Illumina). In the studied cattle population we identified 14 alleles, of which three were determined for the first time (BoLA-DQA1*0106, BoLA-DQA1*3201, BoLA-DQA1*3301). The frequencies of these alleles were respectively: 0.0423, 0.0282, 0.0282. At locus BoLA-DQA1 the highest frequency was found for the BoLA-DQA1*10011 and BoLA-DQA1*0101 alleles and their frequencies were respectively: 0.3592 and 0.2606. The frequencies of other alleles identified in the studied population ranged from 0.0070 to 0.0704. The results obtained in this study indicate that the BoLA-DQA1 locus is highly polymorphic and new alleles are still identifiable.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".