[Serum gamma-glutamyl transpeptidase activity in children with chronic hepatitis B].
Bibliographic record
Abstract
UNLABELLED: THE AIM OF THE STUDY was evaluation of serum activity of chosen enzymes (ALT, AST, GGT and ALP) in assessment of fibrosis degree in children with chronic hepatitis B. MATERIAL AND METHODS: We determined serum activity of liver enzymes in 47 children aged 4-16 with biopsy-verified chronic hepatitis B, prior to interferon alpha treatment. Fibrosis stage was assessed in a blinded fashion according to Batts and Ludwig. We defined advanced fibrosis as a score =3. Receiver operating characteristics (ROC) analysis was used to calculate the power of the assays to detect advanced liver fibrosis (AccuROC, Canada). RESULTS: Serum GGT activity of 19 IU/I had a sensitivity of 50% and a specificity of 90% (AUC=0.7324, p=0.0391) to predict advanced fibrosis. All other enzymes did not allow a useful prediction. CONCLUSION: GGT is suitable serum marker to predict advanced liver fibrosis in children with chronic hepatitis B.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".