Bibliographic record
Abstract
Major locations for stored product research in North America are in Winnipeg, Manitoba, Canada, and Manhattan, Kansas, USA.Recent personnel changes and research areas are reviewed.One of the pressing research areas in the U.S. is reducing the need for fumigations in flour mills and evaluating alternative treatments.Long-term studies are beginning to show efficacy of better IPM practices, including use of aerosol treatments, for reducing the need for fumigation.Heat treatment as an alternative to fumigation continues to be refined through research.Models have been developed for optimizing heat treatments and fumigations.Studies at grain elevators are optimizing insect management at these large storage facilities, including better sampling methods and computer programs that aid in decision making.Recent studies are beginning to look at insect populations in feed mills and their association with microbes.A number of studies have investigated the biology and control of psocids, which are emerging pests of stored products in the U.S.There have been major research efforts in both Canada and the U.S. to develop better sampling and detection methods, including thermal imaging, automated digital x-rays, molecular methods, and development of better attractants and improved interpretation of trap catches.The red flour beetle, Tribolium castaneum, is the first agricultural pest to have its genome sequenced, and mining the genome has produced vast knowledge of various physiological processes that might be exploited for control of this and other pests.Expected future research trends are on aerosol treatments of structural facilities, improved methods for detecting internal insect pests, psocid biology, improved attractants, improved interpretation of trap catches for making pest management decisions, and application of genomic technologies for insect control.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.014 |
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".