Three-dimensional photonic crystal short-pillar architecture for high-performance optical biosensing
Bibliographic record
Abstract
Numerical analysis of optical biosensors made of very short-pillar (only one or two lattice constants high) liquid-infiltrated photonic crystals is presented. The small pillar height makes these photonic crystals amenable to fabrication by techniques such as nanoimprinting. Our biosensors can detect at least three different analytes (disease markers), individually or combinatorially in a single spectroscopic measurement. The resonance linewidths of our proposed device are narrow enough to accurately identify the relative concentrations of analytes within the biofluid, enabling our device to provide both qualitative and quantitative disease diagnoses. The minimal volume of fluid sample required for diagnosis is set by the micrometer-scale lattice constant of the photonic crystal. Using finite-difference time-domain simulations, we present detailed spectral characteristics for all possible combinations of analyte attachment to the photonic crystal nanopillars.
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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 | 0.001 |
| 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".