A survey of tree species of concern in Canada: the role for genetic conservation
Bibliographic record
Abstract
A survey was conducted in 2003 to identify Canadian native tree species (woody perennials ≥10 m tall) that may be in need of genetic conservation. Thirty expert respondents from various agencies in provinces and territories graded the tree species in their respective geographical regions based on nine criteria that describe potential reasons for conservation (e.g., rarity, decreasing range or frequency, preferred habitat in high demand, uncertain viable seed source) and then provided a rating that identifies the type of conservation that may be required (species is in good shape, insufficient knowledge for a designation, in situ or ex situ conservation measures are required). Either in situ or ex situ conservation was recommended for 52% of Canada's native tree species, and 8% required more information before a rating could be made. The results of the survey will be used to identify genetic conservation priorities for tree species in Canada. Key words: Canadian tree species of concern, genetic conservation, genetic diversity, species rarity
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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 | 0.002 |
| Science and technology studies | 0.003 | 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".