Electron Spectroscopic Imaging of the Nuclear Landscape
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Our understanding of sub-nuclear organisation is largely based on fluorescence and electron microscopy methods. Conventional electron microscopy, which depends on heavy atom contrast agents, provides excellent contrast of condensed chromatin and some sub-nuclear structures such as the nucleolus. Unfortunately, other components, 10-nm chromatin fibres for example, do not contrast well. Electron spectroscopic imaging partially overcomes this limitation. In particular, phosphorus and nitrogen mapping provide sufficient contrast and resolution to visualise 10-nm chromatin fibres, while providing an opportunity to distinguish protein-based from nucleic acid-based supramolecular structures, such as the cores of nuclear bodies. Electron spectroscopic imaging, therefore, offers an approach to address many questions related to the functional organisation of the interior of the cell nucleus, which is illustrated in this chapter.
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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 it