Simple technique to increase the sensitivity of probe traps in detecting <i>Cryptolestes ferrugineus</i> (Coleoptera: Laemophloeidae) in stored wheat
Bibliographic record
Abstract
Abstract An approach to enhance the performance of probe traps in detecting Cryptolestes ferrugineus (Stephens) adults in stored wheat is described. The repellent property of protein-enriched pea flour is exploited to increase the efficiency of the probe trap by treating the stored grain with the flour. The enhancement in performance of the traps was evaluated by placing the traps in wheat grains treated with protein-enriched pea flour at concentrations of 1%, 5%, and 10% (w/w) and observing the number of adult beetles trapped in comparison with the trap catch in untreated wheat. The traps kept in wheat treated with protein-enriched pea flour caught more beetles than traps placed in untreated wheat. The practical implications of this work are discussed with reference to sampling for C. ferrugineus.
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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) | 0.001 | 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 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".