Miniature neurotransmitter sensors featured with iridium oxide nanorods
Bibliographic record
Abstract
In this work, we reported fabrication of new miniature sensors utilizing iridium oxide (IrO2) nanorods to improve the surface area for sensing. These sensors could be implanted to record neurotransmitter signals in the mammalian central nervous system. The IrO2nanorods were grown in an anodic aluminum oxide (AAO) nanotemplate using a chemical bath deposition method on the sensing area of the sensors. The nanorods with height of 200 nm and diameter of 80 - 100 nm as characterized by scanning electron microscope (SEM) were fabricated. Energy dispersive spectrometry (EDS) was used to verify the composition of the nanorods. In vitro experiments with dopamine demonstrated that the IrO2nanorod-based micro-sensors with an electrode size of 50×100 μm2achieved a sensitivity of 18 pA/μM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".