GaAs-Based Nanostructured Emitters for Monitoring Surface Immobilized Molecules
Bibliographic record
Abstract
Nanoengineered III–V semiconductor heterostructures provide conditions potentially attractive for photonic detection of electric charge carrying adsorbates. The principle of this approach is based on monitoring the photoluminescence effect that is known to be sensitive to the surface states of the semiconductor material. I will review the results of experiments we have carried out to explore the photoluminescence effect of GaAs/AlGaAs microstructures for detection of bacteria and viruses immobilized on their surfaces. To this end, by employing optimized antibody binding architectures, we have already demonstrated detection of Escherichia coli bacteria at 10 3 CFU/mL. The goal of our research is to significantly improve on the limit of this detection. I will discus the perspectives of achieving this goal and developing a technology of devices for automated detection of bacteria.
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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".