Bibliographic record
Abstract
Abstract In most eukaryotes, genetic information is exchanged between homologous chromosomes via the process of recombination. As part of this process, short deoxyribonucleic acid (DNA) tracts of less than 1 kb in length are exchanged between chromosomes in an asymmetric fashion in a process known as gene conversion. When such gene conversion events occur within the vicinity of heterozygous loci, this asymmetric exchange of DNA can result in the non‐Mendelian transmission of alleles. Multiple lines of evidence suggest that this non‐Mendelian transmission is biased in favour of G and C alleles at the expense of A and T alleles. This process, known as biased gene conversion, has a number of important implications for understanding the behaviour of alleles within a population and the base composition of the genome itself. Key Concepts: Biased gene conversion is the preferential transmission of certain alleles to the next generation, arising from asymmetries in the gene conversion process. Biased gene conversion appears to preferentially favour GC alleles over AT alleles, resulting in the overtransmission of GC alleles in regions of high recombination. Biased gene conversion can increase the frequency of an allele in a population. Consistent biased gene conversion can ultimately influence the base composition of the genome, leading to increased levels of GC content. Although a difficult phenomenon to measure, multiple lines of experimental and evolutionary evidence support the existence of biased gene conversion.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".