Monodispersed Fe–Pt nanoparticles for biomedical applications
Bibliographic record
Abstract
Monodispersed Fe–Pt nanoparticles are promising candidates for biomedical applications with an average particle diameter of 6.9nmFe48Pt52, 3.3nmFe52Pt48, and 4.2nmFe70Pt30. They are prepared by simultaneous chemical reduction of Pt(acac)2 and thermal decomposition of Fe(CO)5 in the presence of surfactant as an anti-oxidation reagent and amine as a stabilizer. The blocking temperatures, Tb, of 9 K for Fe70Pt30, 11 K for Fe52Pt48 and 14.4 K for Fe48Pt52 and the mean diameter of the spherical magnetic particles were estimated from the calculated volume to be 3.6, 3.1, and 3.8 nm. The cytotoxicity of unmodified Fe–Pt nanoparticles was performed in brain endothelial cells. Fe48Pt52 nanoparticles were not found to have any significant toxicity on bEnd3 cells during a 24 h period.
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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 | 0.000 | 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 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".