Bibliographic record
Abstract
Telomeres are repeating sequences located at each end of eukaryotic chromosomes. These sequences function to protect chromosome positioning and replication (1-3). In vertebrates, telomere DNA consists of tandem repeats of TTAGGG, 10-15 kb pairs long (4). In most normal cells, DNA replication during mitosis results in the loss of telomere sequences 50-100 bp at the 5' ends of DNA termini (1,5). This sequence loss is mandated by the end-replication-splicing problem (Fig. 1). Thus, telomeres progressively shorten with age in somatic cells in culture and in vivo. In contrast, cancer cells and malignant cell lines retain telomere length despite repeated mitosis (6). This is believed to be an essential component of immortalization for most cells. Fig. 1. End-replication problem. As the replication fork proceeds from left to right, the leading strand proceeds to replicate one strand of original DNA (see B). The direction of the lagging strand is opposite to the direction of the replication fork and relies on the ligation of Okazaki fragments, which are primed with short stretches. Most RNA primer is never replaced with DNA (see C). Consequently, each round of replication produced a daughter chromosome. These are deficient in the sequences corresponding to the original 3' ends.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".