Bibliographic record
Abstract
The spruce beetle is a native species in Colorado's spruce forest ecosystem.Endemic populations are always present, and epidemics are a natural part of the changing forest.There usually are long intervals between such events as insect and disease epidemics and wildfires, giving spruce forests time to regenerate.Prior to their occurrence, the potential impacts of these natural disturbances can be reduced through proactive forest management.The spruce beetle (Dendroctonus rufipennis) is responsible for the death of more spruce trees in North America than any other natural agent.Spruce beetle populations range from Alaska and Newfoundland to as far south as Arizona and New Mexico.The subalpine Engelmann spruce is the primary host tree, but the beetles will infest any spruce tree species within their geographical range, including blue spruce.In Colorado, the beetles are most commonly observed in high-elevation spruce forests above 9,000 feet.At endemic or low population levels, spruce beetles generally infest only downed trees.However, as spruce beetle population levels in downed trees increase, usually following an avalanche or windthrow event -a high-wind event that topples trees over a large area -the beetles also will infest live standing trees.Spruce beetles prefer large (16 inches in diameter or greater), mature and overmature spruce trees in slow-growing, spruce-dominated stands.However, at epidemic levels, or when large-scale, rapid population increases occur, spruce beetles may attack trees as small as 3 inches in diameter.Attacks also have been observed in krummholz -trees near timberline that exhibit stunted growth due to harsh conditions.
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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".