A single-step, PCR-based method for the detection and differentiation of<i>Plasmodium vivax</i>and<i>P. falciparum</i>
Bibliographic record
Abstract
The ability to detect and differentiate between Plasmodium falciparum and P. vivax is of great importance for the routine laboratory diagnosis of malaria, donor-blood screening and epidemiological studies. Most PCR-based methods for the discrimination of these two species require nested protocols or an additional hybridization reaction, leading to high labour costs and long turn-around times. A simple, time-effective and yet sensitive and specific technique, based on a multiplex PCR, has now been developed for the simultaneous detection and differentiation of P. falciparum and P. vivax in blood samples. Compared with the 'gold standard' of microscopy, this method had a sensitivity and specificity of 100%, with a detection limit of just one P. falciparum or three P. vivax parasites/microl blood.
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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 | 0.001 |
| 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) | 0.000 | 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".