Handheld Point-of-Care Device for the Quantification of Anti-SARS-CoV-2 Antibodies
Bibliographic record
Abstract
Antibodies that are produced following infection due to the SARS-CoV-2 virus or vaccination are critical for monitoring the immune response of an individual or the impact of the vaccine over time. As vaccines become available, there is a need for rapid, accurate, and low-cost point-of-care tools for monitoring the effectiveness of the vaccines over time at the population level. Here, we report the efficiency of a handheld point-of-care thermo-photonic device for quantifying anti-SARS-CoV-2 antibodies in humanized control positive solution. Results showed that the imager in conjunction with rapid diagnostic tests (RDT) can detect and quantify antibody levels within clinically relevant range and with a limit of detection of 0.1 µg/ml.
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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".