In-silico molecular analysis of rabies virus across regions
Bibliographic record
Abstract
Rabies is a preventable viral disease of mammals most often transmitted through the bite of a rabid animal. Almost all human deaths caused by rabies occur in Asia and Africa. There are approximately 55000 human deaths annually from rabies worldwide. The disease affects domestic and wild animals and is spread to people through close contact with infected materials usually saliva via bites and scratches. The objective of this study wasi to determine the phylogenic structure of rabies viruses across species and geographical locations. A total of 22 Rabies virus sequences from 5 species (Dog, Cat, Cow, Wolf and Fox) across 8 locations (Nigeria, India, Ghana, Pakistan, Niger, Brazil, Argentina and Texas) were obtained from the GenBank. A Neighbor-joining tree on the basis of genetic distances depicting phylogenetic relationship among Rabies viruses was constructed using the complete deletion and p-distance option using the MEGA VERSION 5 SOFTWARE. The phylogenic analysis revealeds a strong subdivision of rabies viruses by geographical location. The phylogenic groups also formed clusters associated with species from which the virus is isolated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".