Bibliographic record
Abstract
Vespa soror du Buysson Fig. 5 The specimen collected at the Port of Vancouver in May 2019 (Fig. 5) was initially identified morphologically as Vespa ducalis Smith (https://globalnews.ca/news/5326422/north-vancouver-mystery-hornet-identified) but subsequent examination changed the determination to Vespa soror du Buysson. We assembled a 523 bp sequence (GenBank Accession OL702715) that was 98.09% identical to a V. soror sequence from China on GenBank (Accession MZ191819), with an E-value of 0.0, and a bit score of 911. Including the British Columbia specimen, there are five V. soror sequences in the BOLD database (three from China and one with unknown provenance from Perrard et al. 2013) and they all cluster in the same BIN (ACQ0570) that has a maximum sequence divergence between specimens of 2.12%. Material examined: CANADA: 1 ♀, BC, Port of Vancouver, 49°18’7.56”N, 123°6’ 34.92”W, 10.v.2019, T. Hergott, SEM-UBC HYM-14359 (SEM). Distribution: Native to south and southeast Asia including India, southwestern China, Hong Kong, Myanmar, Thailand, Laos, and Vietnam (Archer 1995; Smith-Pardo et al. 2020), adventive in northwest Nearctic (Kozak 2020). Diagnosis: Vespa soror can be distinguished from other Vespa species that have been recorded in Canada by having a combination of the following characters: 1) gena length at least 1.7× the length of eye (Fig. 5B), 2) metasomal tergum 1 length at least half of posterior width, and 3) terga 3–6 black (Fig. 5B), sometimes with a narrow posterior band of orange on tergite 3.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".