<i>Ophiostoma haidaense</i> , sp. nov., a new member of the <i>O. piceae</i> species complex associated with yellow-cedar, <i>Callitropsis nootkatensis</i>
Bibliographic record
Abstract
Ophiostoma haidanensis is described as a new species of the Ophiostoma piceae complex isolated from yellow-cedar (Callitropsis nootkatensis (D. Don) Oerst. ex D.P. Little) sapwood in the Haida Gwaii island archipelago and the North Coast of British Columbia, Canada. The fungus is characterized by the production of a typical sporothrix-like asexual morph but is distinguished morphologically from other members of the O. piceae species complex by its large, multiseptate primary conidia. Phylogenetic analysis of DNA sequences from the nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS) and the β-tubulin (BTUB) and translation elongation factor 1-α (TEF1) genes supports the inclusion of O. haidensis as a distinct member within the O. piceae complex. To our knowledge, this is the first report of a blue stain fungus infecting yellow-cedar, an ecologically, culturally, and economically important conifer naturally distributed along the coastal forests of the Pacific Northwest in North America.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".