Genome sequence and organization of the Mythimna (formerly Pseudaletia) unipuncta granulovirus Hawaiian strain
Bibliographic record
Abstract
Purified occlusion bodies (OBs) of Mythimna (formerly Pseudaletia) unipuncta (the true armyworm) granulovirus Hawaiian strain (MyunGV-A) were observed, showing typical GV morphological characteristics under scanning and transmission electron microscopy (EM). The genome of MyunGV-A was completely sequenced and analysed. The genome is 176,677 bp in size, with a G+C content of 39.79%. It contains 183 open reading frames (ORFs) encoding 50 or more amino acids with minimal overlap. Comparison of MyunGV-A with TnGV, XcGV, and HearGV genomes revealed extensive sequence similarity and collinearity, and the four genomes contain the same nine homologous regions (hrs) with conserved structures and locations. Three unique genes, 12 baculovirus repeated ORF (bro), 2 helicase, and 3 enhancin genes, were identified. In particular, two repeated genes (ORF39 and 49) are present in the genome, in reverse and complementarily orientations. Twenty-four OB proteins were identified from the putative protein database of MyunGV-A. In addition, MyunGV-A belongs to the Betabaculovirus group and is most closely related to TnGV (99% amino acid identity) according to a phylogenetic tree based on the combined amino acid sequences of 38 core gene contents.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".