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
Staphylococcal infections are common in veterinary dermatology patients, as are patients whose health status places them at increased risk of staphylococcal infection. The rapid emergence and dissemination of meticillin-resistant staphylococci has had significant impacts on management of infections and also increased concerns about transmission of staphylococci between animals, from animals to humans and from humans to animals. The increasing incidence and implications of staphylococcal infections, particularly meticillin-resistant staphylococcal infections, is leading to more interest in infection control in veterinary hospitals as a means to help reduce the impact of these significant pathogens. Infection control is a series of principles and practices that can and should be implemented by every veterinary hospital to improve patient care, protect personnel and meet the increasing expectations. Fortunately, general concepts of infection control are both simple and practical, and application of a basic infection control programme requires limited time, effort or training. With an understanding of some basic concepts and use of available resources, development of an effective infection control programme is within the reach of any facility.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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