Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter develops the mathematical and algorithmic techniques utilized to address gene rearrangement problems, both in their original sense as markers of inherited traits, and in their modern interpretation as families of transcripts. This chapter focuses on the rearrangement problem between representative genomes of different species. Modern genome sequencing and annotation techniques identify the position and orientation of genes on the chromosomes. The chapter addresses the problem of enumerating the set of all optimal scenarios that transform one genome into another. The basic principle can be described in terms of balanced cycles. The chapter computes the sequences of double-cut-and-join (DCJ) operations of minimum length. One way to build balanced cycles uses the dashed edges to balance an unbalanced cycle. These dashed edges make it possible to model the fact that a DCJ operation can change the number of chromosomes, and as such, the number of telomeres in a genome, while maintaining the same gene content.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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 it