Bibliographic record
Abstract
A 41 year old woman presented with a one day history of abdominal pain and vomiting. She had been drinking alcohol and three to four bottles of Iso-Gel (isopropanol) a day for the past two weeks. She was positive for hepatitis C and was known to have used injecting drugs and alcohol in the past. On admission, her blood pressure was 119/72 mm Hg, pulse rate was 110 beats/min, respiratory rate was 28 breaths/min, and temperature was 36.6°C. She was dehydrated but seemed well nourished. She was alert and oriented in time and place. Her abdomen was tender in the epigastric and left upper quadrant regions, without guarding or rigidity. The rest of the physical examination was unremarkable. Laboratory tests showed the following results: haemoglobin 154 g/L (normal range 120-160), white blood cell count 7.6×109/L (4.0-10.0), platelets 82×109/L (150-400), glucose 4.8 mmol/L (3.6-11.0), sodium 139 mmol/L (135-145), potassium 4.9 mmol/L (3.5-5.0), chloride 104 mmol/L (98-110), bicarbonate 12 mmol/L (22-26), anion gap 28 mmol/L (10-20), urea 4.6 mmol/L (3.0-7.1), creatinine 89 µmol/L (60-130), alkaline phosphatase 152 U/L (40-135), alanine aminotransferase 68 U/L (4-55), total bilirubin 33 µmol/L (2-20), albumin 42 g/L (35-50), amylase 276 U/L (20-110), and lactate 1.4 mmol/L (0.7-2.1). Arterial blood pH was 7.27 (7.35-7.45); her partial pressure of carbon dioxide was 22 mm Hg (33-45) and partial pressure of oxygen was 126 mm Hg (75-100) while inhaling 1 L of oxygen per minute. A pregnancy test was negative. Small amounts of ketones were found in the venous blood. Plasma β-hydroxybutyric acid was 7.9 mmol/L (0.02-0.29). Serum osmolality was 304 mmol/kg (280-305). Ethanol …
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".