A Method to Identify DNA Sequences Contained in an Arbitrary Nuclear Region
Bibliographic record
Abstract
Nuclear substructures known as ânuclear bodiesâ associate with particular gene loci, and this may determine or reflect a mechanism of genetic control. The detection of these associations currently relies on the use of loci-specific probes, or immunoprecipitation of bulk cells with a particular protein. However, there is evidence that these associations respect the nuclear body, not necessarily any one constituent protein, and are statistically and/or functionally significant even when they occur over distances resolvable by light microscopy, or within single cells. A method is proposed that will allow for the identification of loci contained within the vicinity of an arbitrary nuclear structure in a single cell. It is demonstrated that the crucial aspects of this method are feasible; that DNA sequences originating from arbitrary subnuclear regions targeted by two-photon irradiation can be determined, and identified to a particular locus.
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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".