One or more species in the arctic grass genus <i>Dupontia</i> ? – a contribution to the Panarctic Flora project
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
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 .
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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 | 0.001 |
| 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