Bibliographic record
Abstract
The number of yeast species documented to cause invasive infections in humans has increased. Several uncommon Candida species have now been described to cause invasive infection in humans. A case of cryptococcosis due to the Vancouver Island strain of Cryptococcus gattii acquired in Washington State was also recently reported. Other Cryptococcus species are also increasingly being recognized as causes of invasive disease among immunocompromised hosts. A list of ascomycetous yeasts such as Clavispora , Debaryomyces and Dipodascus reported to cause human disease have been discussed in the chapter. Compared to ascomycetes, yeasts of the phylum Basidiomycota are generally less frequently implicated in human disease. Malassezia and Trichosporon are some of the basidiomycetous yeasts that have been discussed in the chapter. Culture methods remain the most frequently utilized laboratory tools for the diagnosis of invasive yeast infections. Various diagnostic approaches including chromogenic media, rapid biochemical assays, commercial biochemical panels, in vitro susceptibility testing, and molecular identification techniques are analyzed in the chapter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.048 |
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".