Phylogenetic relationships in the tribe Alysseae (Brassicaceae) based on nuclear ribosomal ITS DNA sequences
Bibliographic record
Abstract
Sequence data from the nuclear ribosomal internal transcribed spacer (ITS) region of 85 species (131 accessions) were used to determine the tribal limits, monophyly status, and phylogenetic intra-tribal relationships of genera within the tribe Alysseae (Brassicaceae). Both maximum parsimony and maximum likelihood analyses support the recognition of the tribe Alysseae s. str. (12 genera: Alyssoides , Alyssum , Aurinia , Berteroa , Bornmuellera , Clastopus , Clypeola , Degenia , Fibigia , Galitzkya , Hormathophylla , and Physoptychis ). Six well-supported clades were recognized within the Alysseae clade, including two Alyssum clades (one of which includes Clypeola ), an Alyssoides and allies clade (includes Alyssoides , Bornmuellera , Clastopus , Degenia , Fibigia , Hormathophylla , and Physoptychis ), a Berteroa and allies clade (includes Aurinia , Berteroa , and Galitzkya ), a Bornmuellera clade, and a Hormathophylla clade. Morphological and cytological support for these clades is reviewed. The ITS data support the exclusion of the following taxa from the Alysseae, with appropriate tribal assignment given in parentheses: Alyssum klimesii Al-Shehbaz (Camelineae), Asperuginoides (unresolved), Athysanus (Arabideae), Botschantzevia (Arabideae), Didymophysa (unresolved), Farsetia (Malcolmieae), Lobularia (Malcolmieae), and Ptilotrichum (Arabideae). Farsetia and Lobularia are inferred to be monophyletic, and based on molecular and morphological characters they are assigned to Malcolmieae, a recently described tribe.
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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 | 0.000 |
| 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 | 0.000 |
| 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 | 0.001 |
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".