First environmental isolation of Cryptococcus gattii serotype Bfrom Cucuta Colombia
Bibliographic record
Abstract
Introduction In Cucuta Cryptococcus gattii serotype B is commonly recovered from immunocompetent patients with cryptococcosis but it has not been recovered from the environment in spite of its high incidence which is 77 out of reported casesObjective The aim of this work was to carry out an extensive environmental sampling in Cucuta in an attempt to isolate C gattii serotype B and to expand our knowledge about the ecology and epidemiology of this important yeastMaterials and methods Samples associated with 3634 trees from 40 zones of Cucuta were collected and processed with 28 samples collected near the houses of four patients with cryptococcosis caused by C gattii serotype B The serotype of the recovered isolates was done using multiplex PCR molecular patterns were determined by RFLP of the URA5 gene and mating type was determined using the primers Mfy945U Mfy945L MFa2U and MFa2LResults In total 4389 samples were processed and one isolate of C gattii serotype B VGIa two isolates of C gattii serotype C VGIIIy945 and three isolates of C neoformans var grubii serotype A VNIy945 were recovered The density of the recovered isolates varied from 50 to 350 cfug of soilConclusions This is the first report on the environmental isolation of C gattii serotype B from Cucuta However because of the low rate of recovery of isolates from soil only the environmental niche of C gattii has not been established and further environmental studies in Cucuta are necessary owing that this serotype is not only causing cryptococcosis but also has shown a higher virulence after the Vancouver outbreak
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".