Isolation of Candida by using Sabouraud
Bibliographic record
Abstract
Background: Candida is the most common fungal pathogen in the human oral cavity.So they have the ability to cause opportunistic infection called as oral candidiasis.This study was designed to isolate Candida by using Sabouraud's Dextrose agar media and its association with Oral mucosal lesions.Methods: 45 patients of clinically diagnosed oral mucosal lesions, 5 each was of Leukoplakia, Lichen Planus, Lichenoid Reaction, Chewer's Mucosa, Squamous cell Carcinoma, Angular Cheilitis, Denture Stomatitis, Aphthous ulcers were selected.Samples were collected from oral mucosal lesions for the candidal growth.The data obtained was statistically analyzed by using Chi Square test using SPSS version 16.Results: Out of 45 patients, 14 showed positive Candidal growth in which 5 Cases were of Leukoplakia, 3 of Lichen Planus, 2 each of Fibroma, Squamous cell carcinoma, Denture stomatitis.Conclusion: 14 Patients with Oral Mucosal Lesions showed positive fungal growth, so these patients are more susceptible for developing Oral Candidiasis as compared to the lesions with no Candidal growth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".