Feasibility of the application of electronic nose technology to monitoring insect infestation in wheat
Bibliographic record
Abstract
An Alpha MOS FOX-3000 electronic nose equipped with 12 Metal Oxide Semiconductor (MOS) sensors was used to evaluate the presence of two insects in wheat.Canada Western Red Spring (CWRS) wheat (cv.AC Barrie) infested with rusty grain beetle, Cryptolestes ferrugineus (Stephens), or red flour beetle, Tribolium castaneum (Herbst), were placed in the glassjars (4 L capacity).Different numbers ofjnsects (0, 1,2, l0 and 20 insects/kg) \r'ere tested for each insect species in combination with three moisture content levels for the grain (l4o/o,160/o, and 18%).The headspace volatiles from infested or non-infested wheat was sampled and injected into the sensor array.Each individual sample collected was analyzed in triplicate and each treatment was tested seven times.The response ofgas sensors, in the form ofa multi-dimensional matrix, was 56 63 vlll
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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 | 0.001 |
| 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 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".