Global spread and evolution of viral haemorrhagic septicaemia virus
Bibliographic record
Abstract
Viral haemorrhagic septicaemia virus (VHSV) is a rhabdovirus that infects over 48 species of teleosts and is lethal in many. VHSV threatens marine and aquatic fisheries. VHSV was first discovered outside Europe in 1988 in fish from the Pacific coast of North America. In 1994, VHSV was discovered in Newfoundland. In 2003, VHSV was isolated from fish in Lake St. Clair (Michigan and Ontario). In this study, we used 46 nucleotide sequences for the glycoprotein gene from 12 studies and 150 nucleotide sequences for the nucleoprotein gene from nine studies. We combined phylogenetics and a geographic information system to visualize the transmission paths of VHSV lineages. We also reconstructed the spread of VHSV lineages through optimization of geographic data for viral isolates on phylogenetic trees. We demonstrate that VHSV was transmitted from the North Atlantic Ocean and/or Baltic Sea to the Atlantic coast of North America and Japan in independent events. From the Atlantic coast, the virus was transmitted independently to the Laurentian Great Lakes and the Pacific coast of Canada and the contiguous United States. From the Pacific Northwest, the virus was transmitted to Asia and Alaska in independent events. These results clarify the debate ongoing in the literature on the geographic spread of VHSV.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".