Let air out of the bowel to allow more air in the lungs: surgical treatment of weaning failure
Bibliographic record
Abstract
A 79-year-old man was electively admitted for a Whipple's procedure for a pancreatic cancer. Following surgery, he was extubated, but subsequently developed a hospital-acquired pneumonia with multiple organ failure requiring admission to the intensive care unit for organ support. After a protracted period of failed weaning from mechanical ventilation, he was transferred to a regional weaning centre 7 months after the initial operation. Since the surgery, the patient had complained of abdominal bloating and discomfort with distended bowel loops observed on the plain abdominal film. Because of frailty of the patient, a conservative management approach was taken, including high positive extrinsic pressure to enhance lung volume and the use of prokinetics, low-volume enteral feeding, regular aspiration of air from the nasogastric tube, sitting …
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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".