Unfurling Fern Biology in the Genomics Age
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
Twenty-first century technology is addressing many of the questions posed by 20th-century biology. Although the new approaches, especially those involving genomic data and bioinformatic tools, were first applied to model organisms, they are now stretching across the tree of life. Here, we review some recent revelations in the ferns. We first examine how DNA sequence data have contributed to our understanding of fern phylogeny. We then address evolution of the fern plastid genome, including reports of high levels of RNA editing. Recent studies are also shedding light on the evolution of fern nuclear genomes. Initial analyses of genomic data suggest that despite their very high chromosome numbers homosporous ferns may have experienced relatively few rounds of genome duplication. Genomic data are enabling researchers to examine speciation rates and the mechanisms underlying the formation of new fern species. We also describe genetic tools that have been used to study gene function and development in ferns. Recent findings in fern biology are providing insights that are not only pertinent to this major component of the land flora but can also help to provide an improved evolutionary context for research on flowering plants.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it