Yellowish discoloration of dialyzer
Bibliographic record
Abstract
A 43-year-old Chinese man with chronic viral hepatitis and end-stage renal disease, receiving conventional hemodialysis for 6 years, presented with general malaise and abdominal fullness. After 4.5 hours of hemodialysis, the hollow fibers of the dialyzer turned yellow. Biochemistry studies showed hyperbilirubinemia. The actual serum bilirubin (7.4 mg/dL) could be proved. Abdominal echography survey was negative. Hyperbilirubinemia was secondary to acute exacerbation of chronic viral hepatitis. Anuria and skin hyperpigmentation in uremia lack the tea-color urine and mask clinical jaundice in the presence of hyperbilirubinemia. Careful observation of dialyzer yellowish discoloration gave us timely discovery of patient's hyperbilirubinemia.
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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) | 0.001 | 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".