GASTRODISCOIDIASIS: SYSTEMATIC-NARRATIVE HYBRID LITERATURE REVIEW
Bibliographic record
Abstract
Gastrodiscoidiasis is among the neglected, underreported, and difficult-to-diagnose intestinal diseases. Human infection occurs through the ingestion of raw or undercooked fish or vegetables contaminated with the metacercaria of the helminth. In this study, we analyzed the clinical and epidemiological profile of Gastrodiscoidiasis and identified the main diagnostic methods used in documented cases of the disease. The reviewed cases revealed that the recognition of the infection is hindered by nonspecific clinical manifestations, especially in cases of coinfection with other helminthiases. Most reports of the disease come from India; however, the pathogen has also been described in the United States, Canada, Indonesia, Ghana, and the Philippines, though without reports of clinical disease. The main drugs used in treatment are praziquantel and mebendazole. Gastrodiscoidiasis should be considered as a differential diagnosis in patients with gastrointestinal symptoms and a history of dietary exposure in endemic areas, including travelers. Greater efforts are needed to strengthen the clinical and epidemiological investigation of this disease.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".