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
In Brief Surgery, whether bariatric or not, puts this population at risk. Review the basics of prevention and care. Overview The number of surgical patients who are obese in the United States is rising, a trend that's likely to continue. Such patients are at higher risk than nonobese patients are for surgical site infections and other complications such as dehiscence, pressure ulcers, deep tissue injury, and rhabdomyolysis. This article details the factors that can contribute to such complications, including a high number of comorbidities, and offers practical suggestions for preventing them. Nurses should understand that special equipment, precautions, and protocols may be needed at every stage of care, and that obese patients aren't anomalies but rather a part of a growing population with particular needs. Obesity increases the risk of perioperative complications in the skin and underlying tissue, including infection, dehiscence, pressure ulcers, and deep-tissue injury. Vigilant monitoring can be lifesaving.
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) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it