Potential of ethyl (2<i>E</i>,4<i>Z</i>)-2,4-decadienoate for monitoring activity of codling moth (Lepidoptera: Tortricidae) in eastern North American apple orchards
Bibliographic record
Abstract
Abstract In Ontario apple orchards, the amount of synthetic codling moth (Cydia pomonella (L., 1758)) sex pheromone, E,E-8,10-dodecadien-1-ol (0.01–10.0 mg) used to bait traps significantly affected the mean total numbers of moths captured, whereas similar mean total numbers of moths were captured in traps baited with different amounts of pear-derived kairomone, ethyl (2E,4Z)-2,4-decadienoate (0.01–10.0 mg). The attractiveness of kairomone-baited traps was not increased by using greater amounts (100 and 1000 mg) of this compound. The attractiveness of the pheromone was not enhanced by the addition of kairomone. Similar patterns of adult male seasonal activity were observed when using pheromone-baited traps and kairomone-baited traps. The potential usefulness of kairomone-baited traps in the integrated management of C. pomonella in Ontario apple orchards is 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 | 0.000 | 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) | 0.000 | 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 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".