AFLP‐based differentiation in north Atlantic species of <i>Carex</i> sect. <i>Phacocystis</i>
Bibliographic record
Abstract
A total of 59 plants from 30 populations of 15 species of Carex sect. Phacocystis (including Carex bicolor as outgroup) from eastern Canada and northern Europe were investigated for genetic differentiation of taxa using AFLP. Seven species were studied with material from both Europe and America, three species were investigated with North American material only and five species with European material only. The neighbour joining analysis (NJ) indicates that Carex bicolor may not belong to section Phacocystis , while all other investigated species clearly belong to this section. The sorting of the species according to NJ and UPGMA is mostly in accordance with accepted taxonomy, but with the exceptions that the American C. bigelowii ssp. bigelowii may be specifically distinct from European C. bigelowii ssp. rigida , and C. stans should perhaps not be considered a subspecies or variety of C. aquatilis , but either as a separate species or as a hybrid between C. aquatilis and C. bigelowii . North American C. aquatilis is heterogenic and may contain more than one species.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".