[DIAGNOSTIC EFFICIENCY OF THE USE OF A MAGNIFYING CHROMOENDOSCOPY WHEN EXAMINING THE ORAL CAVITY IN PATIENTS WITH A GASTROENTEROLOGICAL PROFILE WITH EXTRAESOPHAGEAL MANIFESTATIONS OF REFLUX DISEASE].
Bibliographic record
Abstract
The article is devoted to the study of the diagnostic effectiveness of using magnifying chromoendoscopy when examining the oral cavity in patients with a gastroenterological profile with extra-esophageal manifestations of reflux disease. Pathologies of the oral cavity are often one of the additional symptoms, according to the Montreal Consensus and classification of gastroesophageal reflux disease (GERD). Barrett's esophagus is a serious complication of GERD, in which a cylindrical epithelium with intestinal metaplasia is found in the epithelial lining of the mucous membrane of the esophagus, which is a marker of this disease often in combination with dysplasia instead of squamous stratified non-keratinized epithelium. The relevance is due to the fact that this disease is considered as a precancerous condition and is associated with an increased risk of developing adenocarcinoma of the lower third of the esophagus. In this regard, timely diagnosis of Barrett's esophagus and monitoring of these patients will improve the prognosis of the disease and reduce the frequency of deaths.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".