Comparative studies of satellite association and some marker chromosomes in certified and suspected HeLa cells
Bibliographic record
Abstract
The satellite association (SA) patterns were studied in five human cell lines: HeLa, Lu106, KB, HEp-2 and D98/AH-2. When some aspects of the phenomenon of SA were studied (mean number of SA complexes per cell and the proportion of the normal acrocentrics involved in SA in each cell), it became obvious that Lu106 and KB constituted one group and HEp-2 and D98/AH-2 another group. HeLa had some identities with both groups, but it was more similar to Lu106 and KB than to the other cell lines. The mean numbers and the standard errors of the different normal acrocentric chromosomes per cell were calculated. The standard errors of the acrocentrics were ranked in each cell line. The association tendencies of these chromosomes were ranked in the same manner. A high positive correlation between these aspects were found, which may indicate that a high SA tendency influences non-disjunction. Some marker chromosomes were found in ‘association-like’ configurations with normal acrocentrics. These associations were found most frequently with those markers which possibly include the short arm and other parts of normal acrocentric chromosomes. The results are in favour of a possible common origin of the five cell lines studied.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".