Distribution et détection du Sirococcus clavigignenti-juglandacearum au Québec
Bibliographic record
Abstract
La maladie du chancre du noyer cendré, causée par le Sirococcus clavigignenti-juglandacearum, affecte principalement le noyer cendré, Juglans cinerea, bien que le noyer noir, Juglans nigra, et les noyers hybrides puissent en être atteints. La maladie est présente dans plusieurs États américains ainsi qu'en Ontario et au Québec. Au Québec, elle a été rapportée pour la première fois en 1990, dans la région de Fort-Coulonge, en Outaouais. Depuis, de nouveaux foyers d'infection ont été notés en forêt naturelle ainsi que dans une plantation. En 1995, elle a été observée pour la première fois sur des semis de noyer dans deux pépinières forestières québécoises. Cette détection constitue le premier cas documenté de la maladie sur des semis de noyer cendré et de noyer noir dans des pépinières forestières.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".