Analysis of red spruce (Picea rubens) regeneration in Pocahontas, Randolph, and Tucker counties, West Virginia
Bibliographic record
Abstract
Three red spruce communities in the Central Appalachians of West Virginia were accessed temporally over a period of 10 to 11 years and by forest zones (i.e. hardwood, ecotone, red spruce zones). These communities experienced an increasing density of red spruce over time across all forest zones. Red spruce was successfully establishing and expanding across the ecotone into the hardwood forest zone. The greatest increase of red spruce was seen in the more disturbed and earlier successional sites, whereas the less disturbed red spruce community experienced the least change. The red spruce populations in this study were thriving and increasing the density of red spruce seedlings, advanced regeneration and trees across the spruce-hardwood ecotone as well as under the surrounding hardwood canopy. Red spruce seedling densities were found to be greater with increased cover of bryophytes and coarse woody debris, while densities are reduced with increasing cover of Dryopteris spp.
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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 | 0.001 | 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) | 0.000 | 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".