Bibliographic record
Abstract
The Apple Tree has no more destructive insect enemy than the roundheaded apple-tree borer. It is the grub of a rather large white and brown striped beetle, which usually requires from two to three years to complete its life cycle. It is found throughout the eastern half of the United States and southeastern Canada, attacks trees of all ages, but is most destructive to young trees up to 10 years old. Besides the apple, it attacks the quince and pear among cultivated fruits, and the wild crab, service, mountain ash, chokeberry, seedling apple, and some other wild or native trees. The latter are frequent and unsuspected breeding places for the pest, and should be destroyed. Some of the beetles may be killed by poison sprays; paints and washes of various kinds are partially effective in preventing the female from depositing her eggs in the bark, one of the best of these being pure white lead and linseed oil. But the most effective and practical method of destroying the borer is the well-known practice of worming with a knife and piece of wire in midsummer or early fall. This bulletin describes the insect in its different stages, its habits and work, its natural enemies, and the various methods of controlling it.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.016 |
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".