Rapid detection and identification of Candida species with ITS universal primers by PCR
Bibliographic record
Abstract
Objective:To set up a rapid and simple PCR assay for Candida detection and identification by using in ternal tran scribed spacer(ITS)universal primers.Methods:Fungal suspensions of7species(8candidal strains)were am pli fied by using two pairs of ITS uni versal primers ITS1,ITS4and ITS86,ITS4.Results:The species-specific DN A bands of7species of Candida in the fungal suspensions could be amplified with two pairs of ITS universal primers within3.5hours.Moreover,the second pai r was more spesies-specific.Conclusions:ITS universal primers combined with P CR assay can detect Can dida rapidly,simply,specifically and sensitively,even can identify some species at the same time.The assay will have potential val ue in the early diagnosis and treatment of deep fungal infections.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".