A targeted sequence capture array for phylogenetics and population genomics in the Salicaceae
Why this work is in the frame
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Bibliographic record
Abstract
Premise The family Salicaceae has proved taxonomically challenging, especially in the genus Salix , which is speciose and features frequent hybridization and polyploidy. Past efforts to reconstruct the phylogeny with molecular barcodes have failed to resolve the species relationships of many sections of the genus. Methods We used the wealth of sequence data in the family to design sequence capture probes to target regions of 300–1200 bp of exonic regions of 972 genes. Results We recovered sequence data for nearly all of the targeted genes in three species of Populus and three species of Salix . We present a species tree, discuss concordance among gene trees, and present population genomic summary statistics for these loci. Conclusions Our sequence capture array has extremely high capture efficiency within the genera Populus and Salix , resulting in abundant phylogenetic information. Additionally, these loci show promise for population genomic studies.
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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) | 0.000 | 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