The Canadian Journal of Diagnosis / March 200382
Bibliographic record
Abstract
A 43-year-old man presented with two weeks of increasing abdominal girth. He had consumed 300 mL of vodka per day for 17 years. He was jaundiced and had multiple spider nevi. The abdomen was markedly distended, with shifting dullness. The liver edge was palpable and hard. Abdominal veins were distended. There was significant peripheral and sacral edema. He started spironolactone 100 mg/day and furosemide 40 mg/day, began a low-sodium diet with fluid restriction (1.5 L every 24 hours) and was counselled to quit alcohol. He returned three days later with worsening abdominal distension and respiratory distress. He weighed 90 kg. Therapeutic paracentesis alleviated his respiratory complaints. He became compliant with dietary restrictions and abstained from alcohol. Diuretics were increased gradually to spironolactone 400 mg/day and furosemide 60 mg a day. He lost 16.5 kg over a period of eight weeks as his ascites and edema resolved.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.187 | 0.053 |
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".