Foot and mouth disease model verification and 'relative validation' through a formal model comparison
Bibliographic record
Abstract
(1) AsureQuality Limited, P.O. Box 585, Palmerston North 4440, New Zealand (2) Department of Computing and Information Science, University of Guelph, Guelph, Ontario N1G 2W1, Canada (3) Office of the Chief Veterinary Officer, Department of Agriculture, Fisheries and Forestry, G.P.O. Box 858, ACT 2601, Australia (4) EpiCentre, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand (5) Institute of Fundamental Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand (6) Embassy of Ireland, Piazza di Campitelli 3, 00186 Rome, Italy (7) Animal Health and Management Section, Canadian Food Inspection Agency, 59 Camelot Drive, Ottawa, Ontario K1A 0Y9, Canada (8) Centers for Epidemiology and Animal Health, 2150 Centre Avenue, Building B, Fort Collins, Colorado, United States of America (9) MAF Biosecurity New Zealand, Pastoral House, P.O. Box 2526, Wellington, New Zealand
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 | 0.001 | 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".