<i>Suillus tomentosus</i> tuberculate ectomycorrhizal abundance and distribution in <i>Pinus contorta</i> woody debris
Bibliographic record
Abstract
Tuberculate ectomycorrhizae (TEM) have been observed in decaying coarse woody debris (CWD) and may play a role in the nitrogen economy of forests. This study evaluates the occurrence of Suillus tomentosus (Kauff.) Singer, Snell and Dick TEM within CWD in Pinus contorta Dougl. ex Loud. var. latifolia Engelm. stands and relates their occurrence to CWD and soil characteristics as well as stand age. TEM were more abundant in the basal end of CWD incorporated in the forest floor than in the middle and top portions. Tubercle abundance was positively correlated with moisture and texture of CWD, degree of incorporation of CWD into the forest floor, and the amount of roots within CWD. There were significantly more TEM in CWD in young stands than in old stands and on sites with granitic soils than on sites with basaltic soils. Highly degraded CWD that is well incorporated in the forest floor appears to be an important microhabitat for the formation and occurrence of TEM.
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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 | 0.000 |
| 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 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".