Bibliographic record
Abstract
Background: Rhinosporidiosis is a chronic granulomatous disease caused by Rhinosporidium seeberi and it affects both man and animals. It mainly affects nose and nasopharynx. Other sites that can be involved are conjunctiva, Urethra, palate, tongue, epiglottis, larynx, trachea, bronchi, skin, vulva and vagina. Most of the cases are found in India, Sri Lanka, and Pakistan. Some other cases also have been reported from Africa, South America, Europe, North America and Canada. In India, disease is common in Tamil Nadu, Kerala, Chhattisgardh, Puducherry, Andhra Pradesh. It is uncommon in Gujarat. Case presentation: Two cases from village area of Gujarat presented to our institute in 2010 and 2015. Both were male between 15-20 years. Presenting complaint was nasal blockage in both and on examination polypoidal, erythematous mass was present in nasal cavity which bleed on touch. Biopsy from the lesion confirmed the diagnosis. Conclusion: Though it is uncommon, Rhinosporidiosis should be kept in mind while treating any nasal mass. Biopsy should be taken whenever diagnosis is doubted. Surgical excision of mass lesion with bipolar electrocoagulation is treatment of choice. Recurrence is less common if complete removal is done. Role of medical therapy is doubtful and it was not given in these 2 cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| 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".