Quantifying relationships between root rot in a white spruce plantation and sporophores of <i>Inonotus tomentosus</i>
Bibliographic record
Abstract
Summary The relationship between the occurrence of sporophores of the root rot pathogen Inonotus tomentosus ( Basidiomycota , Hymenochaetaceae ) and disease symptoms was studied in a white spruce plantation ( Picea glauca ) in Canada over a period of 14 years. Numbers of sporophore clusters (three or more sporophores within 1 m of each other) were well correlated with numbers of infected living or dead trees ( r = 0.64–0.86, p = 0.000–0.003). Infected trees may have sporophores around them before external symptoms of disease occur on the tree. As numbers of dead trees increased, the numbers of infected living trees remained constant, indicating increased infection within the stand. However, the number of sporophores varied considerably between the years. The diagnostic value of sporophores for tomentosus root rot is discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".