Bibliographic record
Abstract
Papers p 659 H elicobacter pylori is the main cause of duodenal and gastric ulcers. The organism has also been linked to gastric cancer.1 Most researchers believe that there is a relation, although an imperfect one, between non-ulcer dyspepsia and infection with H pylori . The pathophysiological mechanisms by which the infection may cause dyspepsia are unclear, but may include changes in acid secretion, abnormal motility, or altered visceral perception.2 The prevalence of H pylori is higher in patients with non-ulcer dyspepsia than in healthy controls.3 A pivotal question is whether curing the infection leads to a sustained improvement in symptoms in patients with non-ulcer dyspepsia. The controversy surrounding this issue is addressed by the meta-analysis by Moayyedi et al in this issue of the journal (p 659).4 Dyspepsia is defined as pain or discomfort in the central upper abdomen which originates in the upper gastrointestinal tract.5 To make the diagnosis of non-ulcer (functional) dyspepsia patients need to have had symptoms for at least 12 weeks and the presence of an organic disease, such as a peptic ulcer or oesophagitis, must be ruled out. …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.020 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".