Bibliographic record
Abstract
This short review discusses the need to manage climate-driven expansion of old toxins in new geographic areas (e.g., aflatoxin or fumonisin in corn in historically cooler areas, and ergot where rainfall and cropping patterns have changed). In addition, a renewed consideration of the toxins that can occur in feed sources used in cool-season dairy areas is needed (e.g., silage and distillers dry grains with solubles). A separate issue concerns genetic changes that are occurring in the species that cause Fusarium head blight/Gibberella ear rot. Small differences in climate appear to determine the distribution of the two dominant populations (native to the new world and from Asia). The chemotype that produces deoxynivalenol via the monoacetate at the 3 position results in the accumulation of somewhat more deoxynivalenol than the native population, which involves the monoacetate at the 15 position. There are also genetic changes occurring that have resulted in populations that produce different metabolites. Similarly, an increase in the area where Aspergillus flavus can thrive and the discovery of the sexual stage of this fungus have raised the potential of genetic change accelerated by climate. To address all these issues, new methods and increased availability of reference standards, as well as training and awareness, will be required.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".