Disease Screening for Endangered Whitebark Pine Ecosystem Recovery
Bibliographic record
Abstract
Whitebark pine (Pinus albicaulis) is a high-mountain keystone and foundation species that is declining throughout most of its range in Western Canada. An introduced pathogen (Cronartium ribicola) causing white pine blister rust has led to the tree being listed as a federal species at risk. A disease screening program relies on carefully selecting potentially resistant parent trees, followed by testing their respective progenies. Beginning in 2011, trees were selected for controlled inoculations and field trials of seedling families. The performance of each seedling family indicates the level of disease susceptibility, implying genetic resistance in the parents. To date, we are screening hundreds of wild-collected parents. Based on post-inoculation assessments, almost one-third of our carefully selected parents have produced seedlings showing low susceptibility to disease. Numerous stakeholders are now beginning to plant disease resistant seedlings while also supporting the establishment of seed orchards and clone banks. Due to everchanging pathosystems, long-term diseasem screening will remain a critical contribution to the recovery of this valuable species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".