An investigation of varietal preferences exhibited by the potato leafhopper, Empoasca fabae, in edible beans
Bibliographic record
Abstract
The potato leafhopper, 'Empoasca fabae', is an economically significant pest of edible beans, 'Phaseolus vulgaris', resulting in potential yield losses of 60%, which corresponds to economic losses of a quarter billion dollars in Ontario per annum. The potato leafhopper shows a distinct preference for the susceptible cultivar 'Berna Dutch Brown' under field conditions. Laboratory experiments were conducted to determine the role of visual and olfactory stimuli in host preferences. Leaf reflectance appears to be an important factor in host attractiveness. Field studies were conducted in 2001 and 2002 to determine the efficacy of Berna as a trap crop when interplanted among rows of Stingray white bean. Although leafhoppers were more abundant in rows of Berna, white bean plants located adjacent to Berna rows suffered significant damage and reduced yields. This approach may be more effective if trap rows bordering the main crop are treated when threshold levels are reached.
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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".