Bibliographic record
Abstract
Reverse transcriptase (RT) is generally considered a eukaryotic enzyme because it is prevalent in eukaryotes and was first characterized from eukaryotic sources. Discovered in 1970 in the Rous Sarcoma and murine leukemia viruses (1,2), RT has since been studied for its central role in the replication of many eukaryotic genetic elements including retroviruses (e.g., HIV-1), pararetroviruses, hepadnaviruses, long terminal repeat (LTR), and non-LTR retroelements, Penelope-like elements, and telomerase (3,4,5,6,7,8,9,10). Over the years, the accumulated studies of RT have painted a picture in which the enzyme functions primarily as the replicative enzyme of selfish DNAs (viruses, retrotransposons), while occasionally becoming domesticated to perform useful cellular functions. These functions include the maintenance of chromosomal ends (telomerase,DrosophilaHet-A elements) (10,11) and contributions to genomic change (both beneficial and deleterious) through pseudogene formation or other retroprocessing events (12,13,14,15).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.009 |
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".