Evaluation of Synthetic Pheromones for Monitoring Forest Tent Caterpillar (Lepidoptera: Lasiocampidae) Populations
Bibliographic record
Abstract
To effectively monitor forest tent caterpillar (Malacosoma disstria Hübner) populations, the use of synthetic sex pheromones to trap adults was evaluated in outbreak and nonoutbreak population levels. Three pheromone blends were field-tested, consisting of 1) (Z,E)-5,7-dodecadienal, 2) 100:1 (Z,E)-5,7-dodecadienal: (Z,Z)-5,7-dodecadienal and 3) 100:1:10 (Z,E)-5,7-dodecadienal: (Z,Z)-5,7-dodecadienal: (Z)-7- dodecanal. The tertiary blend (3) was superior for capturing forest tent caterpillar moths, and was best able to resolve population density levels. Lures dosed with 11 μg or less of either the binary (2) or tertiary blends failed to capture moths at nonoutbreak population levels, while lures dosed at 390 μg gave the highest mean trap catch and the lowest rate of zero-captures.
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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 | 0.000 | 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 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".