Detection of erythropoiesis stimulating agents in urine samples using a capillary Western system
Bibliographic record
Abstract
The presence of erythropoiesis stimulating agents (ESAs) in the urine samples collected from athletes is detected using traditional Western blotting following either size-based separation (SDS/SAR-PAGE) or isoelectric focusing (IEF). Although there is an important testing effort, there is little doubt that ESAs are still abused in sports and that reducing the costs of the tests might increase the number of tests and improve deterrence. The capillary electrophoresis system developed by Protein Simple may be useful to this end. This platform is fully automated and could be easily implemented in anti-doping laboratories, which would contribute to the improvement of the overall assay performance and standardization of the method. Such an automated system could be of interest during major sports events, such as the Olympic Games, where a high number of samples needs to be analyzed in a short period of time. From the experiments conducted so far, we conclude that the technique is promising, with the sensitivity and reproducibility needed to screen ESAs in human urine samples.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".