The significance of non-O157 Shiga toxin-producing Escherichia coli in food
Bibliographic record
Abstract
MICHAEL A. GrAnt, CrAIG HEdbErG, rOGEr JOHnsOn, JAnEt HArrIs, CAtHErInE M. LOGuE, JIAnGHOnG MEnG, JOHn n. sOfOs and JAMEs s. dICksOn u.s. food & drug Administration, 22201 23rd dr. sE, bothell, WA 98021-4421, usA; university of Minnesota school of Public Health, room 1242 Mayo, delcode 8807, 420 delaware st. sE, Minneapolis, Mn 55455, usA; Public Health Agency of Canada, Laboratory for foodborne Zoonoses, 110 stone road West, Guelph, On, n1G 3W4, Canada, north dakota state university, dept. of Vet & Micro sciences, 1523 Centennial blvd., fargo, nd 58105, usA; university of Maryland, dept. nutrition & food science, 0112 skinner bldg., College Park, Md 20742-7521, usA; Colorado state university, dept. of Animal sciences, 1171 Campus delivery, fort Collins, CO 80523-1171, usA; and Iowa state university, dept. of Animal science, 215f kildee Hall, Ames, IA 50011-3150, usA EXECUTIVE SUMMARY
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 | 0.000 | 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 | 0.000 | 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".