Affinity Sensing for Transgenes Detection in Antidoping Control
Bibliographic record
Abstract
Sports authorities fear that a new form of doping called gene doping, based on the misuse of gene therapy, represents an emerging important problem and so far no methods are available for detecting it. The World Anti-Doping Agency (WADA) has included since 2003 for the first time gene doping methods in the "Prohibited List of Substances and Methods", thus detection of this new form of doping is challenging for analytical chemists. In this work, we apply affinity-based biosensors (ABBs), in particular DNA piezoelectric sensing, for detection of target DNA sequences selected as transgenosis markers. In this work, two sequences widely used in transgenosis experiments have been identified as markers: the enhanced green fluorescence protein (EGFP) gene and the promoter of Cytomegalovirus (CMV). The biosensors are characterized in their analytical performances using synthetic oligonucleotides and amplified DNA obtained from purified plasmid used as a template. Finally they have been applied to transgenic human cell cultures (human embryonic kidney HEK-EGFP), transformed with the same plasmid and carrying the target markers. This represents the closest human real matrix available for our transgenes.
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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".