Onychomycosis: classification and diagnosis.
Bibliographic record
Abstract
Onychomycosis is a common infection of the nail predominantly caused by anthropophilic dermatophytes, and to a lesser extent by yeasts (Candida species) and non-dermatophyte molds. The treatment of onychomycosis is dependent on several variables, including the type of onychomycosis and the causative organism. Various techniques have been used to accurately diagnose onychomycosis, with microscopy and culture being used most frequently. Histological examination of the distal nail plate can aid in confirming the presence of invasive nail disease, but histological examination should not be limited to the nail plate as it may also be helpful in diagnosing subungual onychomycosis. Nucleic acid-based identification techniques may also be valuable when diagnosing onychomycosis; however, multiple steps may be necessary to determine the causative species. Confocal microscopy may also be a fast and reliable method of diagnosing onychomycosis, though it has very limited ability to distinguish between dermatophyte and mold infections. Prior to treatment an accurate diagnosis can provide guidance about the choice of antifungal agent, especially since the causative organism may vary in its response to the antifungal therapies available.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".