The Effect of Silver Nanoparticles on the Scavenger Receptor-Scara1on Microglia
Bibliographic record
Abstract
Alzheimer's disease is one of the most prevalent neurodegenerative diseases in the world. The neuropathological hallmark of Alzheimer's disease is extracellular deposit of amyloid- (A) in the brain. Microglial cells are able to remove of A aggregates by receptor-dependent endocytosis Nanotechnology is one of the fastest developing science discipline and nanoparticles (NPs), due to their strong absorption properties are widely used in industry, and also in medical diagnosis and treatment. It was documented that NPs can prevent the formation of A-aggregates whereby reducing their neurotoxicity and likely can impact on the A-uptake by microglia It is supposed that NPs can increase number of emerging phagocytosis bubbles and the A uptake due to the co-transport phenomenon, or in contrary reduce the number of lipid rafts available and therefore inhibit of A transport by some kind of competition. Moreover, by activating different paths to cell signaling, NPs can probably change the expression of the amyloid -receptors on microglia cell membranes.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".