Bibliographic record
Abstract
Established populations of the pine shoot beetle, Tomicus piniperda (L.) (Coleoptera: Scolytidae), were first detected in the US in 1992. As of January 2000, T. piniperda was known to be established in 271 counties in 11 US states (IL, IN, MD, MI, NH, NY, OH, PA, VT, WI, WV) and 25 counties in Ontario and 8 counties in Quebec, Canada. In a 1998 study, we found that marked and released T. piniperda were captured in traps up to 400m outside of operational sawmills and simulated millyards despite the abundance of brood material present in the millyards; 400m was the furthest distance to which traps were placed in 1998. In 1999, we investigated T. piniperda's,/I> potential for longer range dispersal in the absence of suitable breeding material. In this study, traps were placed out to 2 km in an open agricultural field. Marked and released beetles were captured up to 800m from a central release point. In a companion study conducted in Geneva, New York by Al Barak (USDA APHIS, OTIS) marked and released T.pinipera adults were recaptured up to 2km from the release point. Such studies indicate that T.piniperda is capable of long distance flight and that adults could be carried even further by strong winds.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".