Early results from field trials using <i>Hypholoma fasciculare</i> to reduce <i>Armillaria ostoyae</i> root disease
Bibliographic record
Abstract
Armillaria ostoyae (Romagn.) Herink. causes serious damage to forest tree species worldwide. In this study, Hypholoma fasciculare (Huds. ex Fr.) Kummer was inoculated, after logging, into areas in south-central British Columbia that had been identified as having high levels of A. ostoyae. Hypholoma fasciculare was successfully established in a variety of different types of trials, as indicated by growth of H. fasciculare mycelium into roots of inoculated stumps and the presence of fruiting bodies on and around stumps. Three to five years after treatment, inoculated plots had biologically and statistically significantly lower levels of mortality attributable to A. ostoyae.Key words: Hypholoma fasciculare, Armillaria, biocontrol, woody debris.
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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 | 0.001 |
| 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".