Bibliographic record
Abstract
Hepatitis C virus (HCV) genomes exhibit high nucleotide sequence diversity. In this study, we performed complete genome sequence analysis of 11 HCV genotype 6 samples from Vietnam and Thailand. We identified nine HCV complete genomes belonging to subtypes 6a (D9), 6e (D42 and D88), 6f (TH52), 6i (TH24), 6l (D33), 6n (TH22 and TH31) and 6o (D85). Phylogenetic analysis of the core/E1 and NS5B regions from unclassified genotype 6 isolates from Asian immigrants in Canada revealed that two other viruses (D49 and D83) could be classified as novel candidates of HCV subtypes 6t and 6u. Hepatitis C virus (HCV) is an enveloped positive-stranded RNA virus that belongs to the family Flaviviridae and it is the leading cause of acute and chronic hepatitis in about 3 % of the human population (Shepard et al., 2005). The entire viral genome contains about 9600 nt encoding structural (core, E1 and E2) and non-structural (P7 and NS2–NS5B) proteins flanked by untranslated regions (Choo et al., 1991). The virus shows extreme genetic diversity and currently six major groups (genotypes 1–6) and a large number of subtypes have been identified (Simmonds, 2004). Viral genomes of different genotypes may vary by 30–35%, while nucleotide sequences of subtypes may differ by 15–20 % (Simmonds et al., 2005). HCV genotype 6 viruses mainly circulate in South East Asia
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.840 | 0.759 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".