Endoscopic findings in a patient with epigastric pain
Bibliographic record
Abstract
A 16-year-old girl had repeated epigastric pain and nausea without any lower abdominal symptoms for 2 years prior to being referred to our hospital. Two years previously, she had undergone oesophagogastroduodenoscopy (EGD) and was diagnosed with chronic gastritis. She denied any other medical history. Physical examination was normal. Laboratory data revealed an iron deficiency anaemia and she had hypoalbuminaemia (serum albumin, 3.1 g/dL). Serum gastrin was 200 pg/mL and vitamin B12 was 270 pg/mL. Antigastric parietal cell and anti-intrinsic factor antibodies and Helicobacter pylori infection were negative. Colonoscopy did not show any abnormalities, and EGD in our hospital revealed diffuse atrophic mucosa with nodular changes observed only in the gastric body circumferentially (figure 1A). In addition, there were multiple …
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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) | 0.000 | 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".