A new gold standard approach to characterize the transport of Si across cell membranes in animals
Bibliographic record
Abstract
Silicon (Si) is increasingly recognized as an essential trace element in animals, especially since the identification of mammalian Si transport systems and Si responsive genes not long ago. During many years, however, efforts to gain substantial insight into the biological role of this element in animals have achieved partial success due in part to the unavailability of validated protocols to study Si movement across biological membranes. To circumvent such limitations, we have developed a general transport assay in which cellular Si content was determined by automated electrothermal atomic absorption spectrophotometry. We have found this assay to provide great analytic sensitivity with Si detection thresholds of less than 1 µM, that is, below or very close to the concentration range of animal cells. We have also found this assay to provide valid and cost-effective determinations in Si transport studies while requiring workable quantities of samples. The protocol described here should thus become gold standard toward accelerated progress in the field of Si transport.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".