One or more species in the arctic grass genus <i>Dupontia</i> ? – a contribution to the Panarctic Flora project
Bibliographic record
Abstract
The grass family (Poaceae) is the largest family of vascular plants in the Arctic. The family includes several species complexes that show high ploidy levels, predominantly reproduce asexually, are poorly morphologically delimited, and have a possible origin within the Arctic area by reticulate evolution. Challenged by work on the Panarctic Flora project and apparent discrepancies in recent taxonomic treatments, we investigated the arctic grass genus Dupontia by molecular and cytogenetic methods. Identical plastid DNA ( trnL–F ) sequences and very similar AFLP profiles indicated that Dupontia and Arctophila are closely related and that the latter might have been involved in a possible intergeneric hybrid origin of Dupontia . Despite the presence of intraindividual rDNA (ITS) variation in Dupontia indicating an allopolyploid hybrid origin of the genus, it was not possible to predict the second parental species from sequence data or from fluorescent in situ hybridization (FISH) experiments using genomic probes. Due to lack of sequence divergence within Dupontia , AFLP fingerprinting was applied to investigate whether any genetic subdivision exists within the genus. The data sorted Dupontia first of all according to geography and not to ploidy or morphological characters that have previously been used to discriminate between proposed taxa. The results indicate that the recognition of a single polymorphic species is the best solution for the genus Dupontia .
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.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".