A collection of 3D-SIM images of telomeres, centromeres and nuclei in HeLa cells
Bibliographic record
Abstract
This collection contains several datasets of 3D-SIM images of nuclei in HeLa cells. Nuclei were counter-stained with Hoechst. Immunolabelling was used to target nuclear envelope (SUN-1), nuclear lamina (LaminAC) and either telomeres (TRF1-GFP, labeled with GFP-nanobodies) or centromeres (CREST). For telomeres, there were two experimental conditions: untreated cells and cells treated by siRNA against BAF and LAP2. SUN-1 labelling was used to identify early G1 stages. For siRNA experiments, where no cell synchronization could be performed, the centrosomal protein Cep152 was added in the same channel as SUN-1 to identify cell cycle stages.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".