Arthroconidial formation in <b><i>Trichophyton raubitschekii</i></b>
Bibliographic record
Abstract
Arthroconidia produced by dermatophytic fungi are considered to be the primary cause of skin and nail infections in humans and animals. Trichophyton rubrum is currently the most common cause of tinea pedis all over the world. The common form of T. rubrum produces a cottony colony in cultures that is characteristically low in conidia formation. The attempts to produce arthroconidia in T. rubrum have shown little success so far. Recently, Trichophyton raubitschekii, an anthropophilic dermatophyte prevalent in Asia, Africa, and the Mediterranean, has been recognized as a variant of T. rubrum. In cultures, T. raubitschekii is characterized by a granular colony form, and an abundance of both micro- and macroconidia. The present study reveals a predominance of arthroconidia in two T. raubitschekii cultures isolated from clinical materials. These isolates were able to maintain arthroconidiation in bimonthly subcultures throughout the entire course of this study. The growth parameters for in vitro cultivation of arthroconidia are described here. Arthroconidia prepared from T. raubitschekii cultures showed greater than 95% germination within 21 h of suspension in phosphate-buffered saline. The availability of arthroconidia in T. raubitschekii cultures appears to offer a practical means of characterizing infective cells in T. rubrum.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".