Commercialisation of a species-identifying automated stored-product insect monitoring system.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<title>Abstract</title> The world's first commercially available, automated, insect-monitoring system, the Electronic Grain Probe Insect Counter (EGPIC), provides real-time data indicative of infestation levels in stored products. The "smart" grain probe circuitry analyses and transmits key components of the infrared sensor output signal that enable the central system computer to discriminate insect species and count only insects that fall through the infrared beam. When used with temperature data also provided by the probe, the number and identity of detected insects can help managers to estimate population densities and make control decisions without extraneous worker entries into grain bins. OPI Systems, Calgary, Canada, has integrated EGPIC into its StorMax automated stored-product management system to provide a tool which can help preserve grain quality while reducing fumigations, enhancing the viability of pesticide alternatives, and providing rapid and safe control-efficacy feedback.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it