Phylogenetic relationships in tribe Lepidieae (Brassicaceae) based on chloroplast DNA restriction site variation
Bibliographic record
Abstract
Tribal and subtribal boundaries within the Brassicaceae are often artificially drawn. Most of the currently recognized tribes and subtribes are separated by only a few morphological characters. Furthermore, these characters are variable even within genera, or they conflict with one another in their distribution patterns, resulting in controversial classification systems. Therefore, tribes and subtribes as traditionally delimited may not reflect natural groups. Up to now no cladistic analysis has been performed in tribe Lepidieae. In the current study, we have analyzed restriction site variation of chloroplast DNA among 41 species representing 19 genera to get insights into phylogenetic relationships within the Lepidieae. Phylogenetic lineages derived from our chloroplast data were critically compared with the traditional concepts. Our chloroplast DNA phylogeny most easily supports the classification of genera in the system of Hayek with some modifications.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".