Is heat treatment a viable option for destroying weed seeds in biosecurity risk goods?
Bibliographic record
Abstract
The prevention of biosecurity threats is an international priority and the development of improved phytosanitary treatment technologies is part of New Zealand’s biosecurity science strategy. Twelve temperature/time treatments were investigated as potential methods to devitalise weed seeds. Six weed species, Digitaria violascens, Eleusine indica, Lepidium virginicum, Plantago lanceolata, Portulaca oleracea and Sonchus oleraceus were exposed to treatments of 50˚C, 60˚C or 70˚C each for 1.5 h, 4 h, or 15 h. The efficacy of these treatments was compared with those of two industry standards: (i) 85˚C for 15 h at 40% RH; and (ii) methyl bromide (80 g/m3) for 24 h. The standard treatments were significantly more effective at devitalising weed seeds than the experimental treatments. This study showed that temperatures below 85˚C are generally insufficient for devitalising seeds of the weed species examined.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".