Designing Polymeric Sensing Materials for Analyte Detection and Related Mechanisms
Why this work is in the frame
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Bibliographic record
Abstract
Summary A systematic approach is used to design and tailor sensing materials for targeted analytes and specific applications. An example is used to demonstrate how potential sensing materials can be designed based on the chemical nature of both the target analyte and the sensing material, and thus predominant sensing mechanisms by which the two interact. The example analyte is a small, polar molecule able to hydrogen bond; therefore, a sensing material that targets the analyte should have polymer chains that pack tightly together, be polar, and be able to hydrogen bond. Any metal oxide dopants should be able to coordinate to both the target analyte and the polymer. Polyaniline and poly ( o ‐anisidine), along with nickel oxide and zinc oxide, are chosen as potential sensing materials and subsequently evaluated based on their ability to sorb the analyte in question.
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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 it