Bibliographic record
Abstract
This paper is a summary of the work carried out within the European Forest Genetic Resources Programme network on gene conservation of noble hardwoods. The species classified as noble hardwoods are all of minor economic importance in European forestry owing to their low proportion in forests. For commonly occurring species the in situ multiple population breeding system (MPBS) is suggested. Some of the noble hardwoods occur together and whenever possible, their combined gene conservation is suggested. If possible, some of the subpopulations will be extended to 200300 ha to match the objective of gene conservation of associated species. For rarely occurring species, grafting of trees and establishment of plantations of grafts in seed orchards or clonal archives are suggested to increase the effective population size. The progenies from such an orchard or archive are planted in forests. For Castanea sativa Mill., which is a multipurpose species, separate gene conservation of fruit cultivars and populations in nature is suggested. The severe threat from Dutch elm disease makes it necessary to establish hedges of Ulmus species to avoid infection of the disease via Scolytus insects. Whenever possible, MPBS in situ gene conservation of Ulmus glabra Huds. and Ulmus laevis Pall. should be carried out.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".