Poster Session 1: Infections and Acute on Chronic Liver Failure
Bibliographic record
Abstract
Background.Beside the regulation of fluid distribution, human serum albumin (HSA) carries several activities unrelated to its oncotic power, such as binding, transport and detoxification of many molecules.In patients with cirrhosis, HSA presents structural alterations likely affecting its function.It has been recently reported that in pro-oxidant environments, HSA may undergo homodimerization through a disulfide bond at the cysteine 34 (Cys-34) residue, the main antioxidant site.Whether HSA homodimerization occurs also during cirrhosis is unknown.Aims.This study aimed to assess the extent of HSA dimerization in advanced cirrhosis and to evaluate its association with specific clinical complications and patient survival.Methods.133 cirrhotic patients hospitalized for an acute clinical complication and 44 age-and sex-comparable healthy controls were enrolled.At study inclusion, HSA isoforms, including monomers and dimers, were identified in peripheral blood samples by using a HPLC-ESI-MS technique.Each isoform abundance was expressed as relative amount over all HSA isoforms identified.Clinical and biochemical parameters were also recorded and patients were followed up to one year.Results.Among the several monomeric isoforms identified, three of them, namely the N-and C-terminal truncated and the native HSA, were found to undergo homodimerization with an exact double molecular weight compared to monomers.Although the three HSA dimers
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.190 | 0.049 |
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 source (direct Gemma or distilled Codex), 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".