Colonization of Scots, red, and jack pine logs by <i>Tomicus piniperda</i> (Coleoptera: Scolytidae) in Michigan pine stands
Bibliographic record
Abstract
We investigated host preference of the pine shoot beetle, Tomicus piniperda (L.) (Coleoptera: Scolytidae), in a large-scale field study in 1997 and 1998. This Eurasian pest, first discovered in North America in 1992, is capable of developing and shoot-feeding in many North American pines. We hypothesized, however, that T. piniperda would preferentially colonize Scots pine (Pinus sylvestris L.), a Eurasian species, more frequently than North American red pine (Pinus resinosa Ait.) and jack pine (Pinus banksiana Lamb.). We placed freshly cut Scots, red, and jack pine logs in Scots, red, and jack pine forest stands each year in southwestern Michigan, where T. piniperda populations have been established for several years, and in central and northern Michigan, where T. piniperda populations were low to rare. Following T. piniperda progeny emergence, logs were retrieved and debarked and T. piniperda attack density was determined for each log. Tomicus piniperda colonized 80%90% of the pine logs in the southwestern Michigan stands compared with 2%19% of logs in the central Michigan stands. No logs in the northern Michigan stands were colonized by T. piniperda in either year. In the southwestern pine stands, T. piniperda attack densities were significantly greater on Scots pine logs than on jack and red pine logs, regardless of stand species.
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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 | 0.000 |
| 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) | 0.001 | 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".