Use of a Tobacco Agar Medium (TAM) to Detect Cryptococcus and Candida Colonies Isolated from Tobacco
Bibliographic record
Abstract
Abstract The use of a tobacco agar medium (TAM) was investigated to visually differentiate Cryptococcus species from Rhodotorula and Candida species that can be isolated from tobacco. This study was first conducted with pure isolates of each of the major yeast species that have been isolated from tobacco. All Cryptococcus strains that were tested produced colonies with different degrees of pigmentation ranging from light to dark brown or black. All Candida and Pichia colonies were white to off-white. Candidaparapsilosis colonies were easily differentiated since they had rough contours and surfaces. All Rhodotorula colonies were pink or orange. In order to validate the use of this medium, tobacco was spiked with a mixed culture of Cryptococcus , Candida , Rhodotorula and Pichia . TAM allowed visual detection and enumeration of the four yeast genera based on colony colour and/or morphology.
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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 | 0.001 |
| 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".