Bibliographic record
Abstract
The ends of linear eukaryotic chromosomes, the telomeres, fulfill unique and essential functions in genome integrity. First and above all, they represent the ends of the DNA molecules. In general, non-telomeric double-strand DNA breaks (DSBs) are not tolerated and are rapidly repaired. This scenario, however, does not apply to telomeres (Muller, 1938; McClintock, 1939). Indeed, telomeric chromosome ends are bound by a complex cast of factors that protect chromosome ends from degradation or fusion (d’Adda di Fagagna et al., 2004). Second, owing to the semi-conservative synthesis of DNA, a DNA end cannot be completely duplicated (Watson, 1972; Olovnikov, 1973). To avoid continuous sequence loss from the telomeres in dividing cells, special mechanisms have evolved. In most eukaryotic organisms, the solution to the problem involves a ribonuclear complex, called telomerase, that is minimally composed of a reverse transcriptase catalytic protein subunit and an RNA subunit that is used as the template (Greider and Blackburn, 1987). In order to accommodate these two functions, the overall telomere structure is dynamic and undergoes dramatic changes during the cell cycle particularly in S phase (Blackburn, 2001; Vega et al., 2003; Smogorzewska and de Lange, 2004). Telomere structure and function have been most intensely studied in model systems such as budding yeast and in human cell lines. Therefore, we chose these organisms to illustrate similarities and differences in telomere composition and structure. Telomeric DNA structures are highly conserved amongst eukaryotes. In virtually all organisms, chromosomes end with an array of short direct repeats. For example, human telomeres comprise 2-20 kb of (TTAGGG)n repeats. The species-specific repeats are related to each other, each being composed of a G-rich and a C-rich strand. Moreover, the directionality of the repeats is conserved
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".