Proceedings from the 2018 Canadian Association for the Study of the Liver Single Topic Conference—Decompensated cirrhosis: from clinic to transplant
Bibliographic record
Abstract
The prevalence of malnutrition increases along with liver disease severity, and survival worsens with progressive malnourishment (1). Malnutrition, used as a synonym of under nutrition may however go unrecognized. It should also encompass the entity of sarcopenic obesity, given that the general prevalence of obesity and hence also the prevalence of cirrhosis and end-stage liver disease related to non-alcoholic fatty liver disease is increasing. Women have a physiologically lower muscle mass than men, which may make it more difficult to appreciate a decrease in muscle mass, and hence sarcopenia may be less sensitive in identifying malnutrition in women in the way it does with men. Women do, however, have more subcutaneous fat (2). There is a close relationship between episodes of decompensation, malnutrition, and sarcopenia, as well as hepatic encephalopathy, bacterial infections, and recurrent infections that lead to reduced survival in patients with cirrhosis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".