Response to “Critical Growth Temperature of Aqueous CdTe Quantum Dots is Non‐negligible for their Application as Nanothermometers”
Bibliographic record
Abstract
Researchers responded to the findings of the paper entitled 'Critical Growth Temperature of Aqueous CdTe Quantum Dots (QD) is Non-negligible for their Application as Nanothermometers'. This study was motivated by earlier published article in Small entitled 'CdTe Quantum Dots as Nano-thermometers: Towards Highly Sensitive Thermal Imaging'. The authors reported that the thermal sensitivity of the CdTe QDs that they synthesized was size-independent for three different capping agents. New QDs were ordered from Plasmachem Inc., and the thermal sensitivity of QDs of different sizes was measured to explain the differences. A linear relationship between the emission wavelength and size was obtained for QDs of size 4.7 and 3.8 nm. Researchers responded that the inner lattice expansion/contraction of QDs was a key factor in determining their characteristic thermal sensitivity, which was modified by the presence of strong and directional surface forces caused by the different capping agents.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".