Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nanozymes refer to nanomaterial-based enzyme mimics. Most nanozyme assays use chromogenic molecules as substrates that can produce an absorbance change in the visible region upon reaction. For certain applications, such as imaging, fluorescence and luminescence signals are required. Fluorescence detection is also advantageous for sensor development due to its low background signal and high sensitivity. A few substrates, such as Amplex Red and luminol, allow luminescence generation with many oxidative nanozymes. In addition, these substrates can work at neutral pH, useful for intracellular applications. In this review, we summarize luminescence signalling-based nanozyme systems. We begin with the properties of commonly used substrates. A few specific nanozymes are highlighted, including metal nanoparticles, metal oxide nanomaterials, carbon-based nanomaterials, and metal-organic frameworks. Finally, a few future research opportunities are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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