Evaluating the extinction risk of Ligusticum canbyi (Osha): Using the IUCN Red List
Bibliographic record
Abstract
The International Union for the Conservation of Nature (IUCN) Red List of threatened species is a global inventory of the conservation status of biological species. IUCN's Species Information Service database enables application of standardized criteria and thresholds to available species data to evaluate the risk of extinction. The IUCN Red List highlights species that are threatened with extinction thereby prioritizing and guiding conservation efforts by governments and local organizations. Ligusticum canbyi J.M. Coult. & Rose (Apiaceae) is found growing in high altitude habitats in the Pacific Northwest and was traditionally used by First Nations to alleviate symptoms associated with colds. Harvesting pressures due to current market demand and cultivation challenges on L. porteri, a closely related species found in the United States may extend wild-crafting collection practices to L. canbyi populations. Distribution records for L. canbyi were obtained from herbarium databases in the US and Canada and the extent of occurrence and area of occupancy were calculated using a geospatial assessment tool. Results show L. canbyi qualifies as Vulnerable based on criteria and thresholds for geographic range measurements only. Results obtained should be collated with additional metrics on population size reduction, habitat quality and potential exploitation of wild populations obtained from sources across political boundaries to provide a more comprehensive assessment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".