An integrated management system for the Douglas-fir tussock moth in southern British Columbia
Bibliographic record
Abstract
An integrated, long-term system to detect and treat infestations of Douglas-fir tussock moth in the Southern Interior of British Columbia was successfully implemented between 1984 and 1999. All aspects of recent research were implemented during an integrated control program conducted between 1991 and 1993. Many localized, incipient outbreak populations of tussock moth were detected prior to significant defoliation and treatments of a nuclear polyhedrosis virus (NPV) were applied. The application of NPV to sites with increasing tussock moth populations effectively terminated the localized infestations. The combination of early detection and application of NPV greatly reduced damage when compared to previous tussock moth outbreaks. Other program components were evaluated during the outbreak including: 6-trap cluster pheromone monitoring sites and singlet pheromone monitoring sites that correctly predicted outbreak level tussock moth populations; comparison between stored and new virus; comparison between virus formulations (Virtuss® versus TM Biocontrol-1®); evaluation of alternate swath versus entire coverage application of virus; and reduced dosages of virus. All virus trials were effective in reducing tussock moth populations to pre-outbreak levels. Future research and applications of the methodology are discussed.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".