History of the Asian<i>Lymantria</i>species Program: A Unique Pathway Risk Mitigation Strategy
Bibliographic record
Abstract
Abstract Changes in grain trading between Russian Far Eastern ports and North America in the late 1980s and early 1990s led to introductions of Lymantria dispar asiatica (Vnukovskij), formerly called the Asian gypsy moth (AGM), and the recognition of a new pathway for its transport. Unlike the pathways commonly used and regulated for commodities and for packaging material containing pest organisms, this presented a unique pathway for AGM. Vessels departing from the Russia Far East transiting to ports on the west coast of the United States (US) and Canada (CA) were infested with life stages of AGM and related species. Upon arrival in North America, eggs oviposited on the surfaces of the ships and its cargo hatched with larvae ballooning to vegetation surrounding port areas leading to the potential establishment of AGM populations. A multi layered monitoring and inspection program was developed to mitigate this risk of introduction, initially for Russian Far Eastern ports, and eventually to include specified areas of other Asian countries. In this article, we summarize and review the integral parts of this mitigation program, which include: risk assessments, AGM monitoring in foreign and domestic ports, vessel cleaning and certification by a government Plant Protection Organization (PPO) or its proxy, AGM surveillance, and eradication of introduced AGM in ports and other areas within the United States and Canada. The uniqueness of this program is characterized by its complexity, which involves coordinated efforts of PPOs, the use of various inspection organizations, and the support of ocean transportation industries.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".