Sub-Nyquist Sampling of Short Pulses: Part I
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
Despite the increasing importance of the Canadian elk industry, the veterinary literature concerning diseases of elk is sparse, in particular for the neonatal period. This study summarizes necropsy findings in 111 farmed elk calves, up to 30 days of age, submitted to the diagnostic laboratory of the Western College of Veterinary Medicine over a 9-year period (990 to 1998). Causes of mortality fit into 3 categories: infectious disease, noninfectious disease, and undetermined. Organisms causing disease included Escherichia coli, Listeria monocytogenes, and Cryptosporidium sp. Starvation, including dehydration, was also a significant cause of mortality. Necropsy records are a useful source of information, but their scope is limited. There is a need for research that determines the prevalence of neonatal elk diseases and identifies risk factors for morbidity and mortality.
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 | 0.001 | 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) | 0.001 | 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