Energy Transfer Probing as the Method for Testing Rare-earth Ions Doped “green” Nanoparticles as Fluorescent Agent for Bioimaging
Bibliographic record
Abstract
In spite of tremendous number of papers concerning rare-earth (RE) doped fluorescent nanoparticles (NP) and methods of their synthesis (see, for example, paper in Nature Photonics the problem of fluorescent quenching caused by —OH molecular vibrations is still not raised properly. The reason might be that most of the papers are devoted to the up-conversion fluorescent nanoparticles with the energy of emitted photons in the visible or even in UV spectral ranges. In this case the contribution of the quenching caused by the —OH groups to the overall relaxation rate is not so significant due to very high energy of optical transitions. However, in the near IR spectral range the input of the —OH groups to fluorescence quenching is significant, but until recently there were only few papers, which are raising this issue.
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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 | 0.001 | 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".