Eighteen years of trapping data show declines in the populations of the European corn borer in sweet corn in Québec, Canada
Bibliographic record
Abstract
European corn borer (ECB) has been exerting less pressure for several years in Québec, raising questions about actual population trends and the required pest management adjustments. This project aims to determine the actual changes in ECB populations in sweet corn in Québec between 2005 and 2022. Data from pheromone traps for the E and Z races, deployed as part of a monitoring network consisting of 35–50 sites per year across sweet corn fields, were used. Spatio-temporal generalized additive models indicate lower ECB E-race populations currently observed than during the 2005–2012 period. Higher numbers of the Z-race moths were observed between 2009 and 2012 and have declined since then. Sites with moderate to high ECB catches declined from around 20% between 2005 and 2010 to nearly zero since 2017. This underlines the need for updated management strategies to align with current pest dynamics, reflecting the lower ECB pressure.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".