Bibliographic record
Abstract
Several approaches have been used in an attempt to predict the severity and prognosis of attacks of acute pancreatitis. The Ranson and Glasgow criteria include a variety of simple laboratory parameters that are measured on admission and again within 48 h. They are the most widely used indices in clinical practice. The Acute Physiological and Chronic Health Evaluation II system is more complicated, but can be applied to a wide variety of conditions, especially in intensive care settings. The usefulness of this system depends on the threshold score for defining severe pancreatitis; a score of eight appears to be the most appropriate. The finding of nonperfused areas in the pancreas at contrast-enhanced computed tomography is indicative of pancreatic necrosis and portends an unfavourable prognosis. Other clinical and laboratory indices have been proposed, but the most important predictive factor of early mortality seems to be the presence and persistence of a Marshall organ failure score of two or more. This is especially true if organ dysfunction persists beyond 36 h. Radiological findings do not always correlate well with the presence of organ dysfunction, and more investigations are required.
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) | 0.003 | 0.000 |
| Bibliometrics | 0.003 | 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 | 0.001 |
| 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 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".