Disinfestation of Hessian fly puparia in small rectangular hay bales using a laboratory heat treatment unit
Bibliographic record
Abstract
C) was circulated through three control mesh bags containing infested wheat seedlings. An estimated number of 1220 puparia were used for each disinfestation test and the control. The density of the bales ranged from 113 to 148 kg/m 3 , and the initial moisture content ranged from 8.5 to 9.9% wet basis. The average temperatures used in the heat treatment ranged from 73 to 76 o C, and the average relative humidity ranged from 39 to 53%. The thermally treated insect bags and the controls were sent for emergence test. About 241 insects survived out of the approximate number of 1220 puparia used as control. This represented a pre-treatment viability of about 20%, which was unexpectedly low. The thermal treatment ensured a total mortality of the Hessian fly puparia. This study has shown that thermal treatment could be used to disinfest hay bales to meet quarantine and phytosanitary regulations. Keywords: Hessian fly, disinfestation, baled hay, forage, thermal treatment, quarantine,
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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".