Genotyping of marine viral haemorrhagic septicaemia virus isolated from the Flemish Cap by nucleotide sequence analysis and restriction fragment length polymorphism patterns
Bibliographic record
Abstract
A total of 14 viral haemorrhagic septicaemia virus (VHSV) isolates obtained from Greenland halibut Reinhardtius hippoglossoides caught at the Flemish Cap, a fishing ground in the North Atlantic Ocean near Newfoundland, were characterised using restriction fragment length polymorphism (RFLP) and nucleotide sequence analysis. RFLP analysis was performed on a 1259 bp fragment of the glycoprotein (G) gene, and a 305 nucleotide region within the nucleoprotein (N) gene was used for sequence analysis. Representative strains of the 4 established genotypes were employed for comparative purposes. Sequencing analysis indicated that the Flemish cap isolates grouped in Genotype 3, which also includes isolates from wild fish caught in the North Sea and coastal waters of the UK and Ireland, isolates derived from outbreaks of VHS in turbot farms in the British Isles, and an isolate from European eel Anguilla anguilla caught in northern France. Characterisation using RFLPs resulted in the development of a simple and reliable method of typing VHSV at the genotype level using a 2-step restriction analysis (2-SRA) assay.
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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 | 0.001 |
| 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) | 0.000 | 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".