The World Checklist of Vascular Plants (WCVP): Fabaceae
Bibliographic record
Abstract
The World Checklist of Vascular Plants (WCVP) is a global consensus view of all known vascular plant species (flowering plants, conifers, ferns, clubmosses and firmosses). The Fabaceae subset contains names that have been peer reviewed by external experts from the Legume Phylogeny Working Group’s (LPWG) and internal experts, as well as names that are in the process of being edited and reviewed. WCVP aims to represent a global consensus view of current plant taxonomy by reflecting the latest published taxonomies while incorporating the opinions of taxonomists based around the world, and following the International Code of Nomenclature for algae, fungi, and plants. WCVP is built on the nomenclatural data provided by the International Plant Names Index (IPNI), which is the product of a collaboration between The Royal Botanic Gardens, Kew, The Harvard University Herbaria, and the Australian National Herbarium, combined with the taxonomic data provided by an international collaborative programme with a large number of contributors from around the world. Our thanks go to the compilers and editors of IPNI and WCVP and in particular the thousands of users who have contributed corrections over the past decades, improving those data for the global user community. We acknowledge the long term contribution of the International Legume Database and Information Service (ILDIS), which provided a species naming infrastructure that was used over many decades by the legume systematics community and which remains the foundation for the taxonomy of many legume species. The WCVP Fabaceae checklist includes the data from WorldWideWattle (Maslin and Wilson, 2025). Donald Hobern is acknowledged for his technical assistance with the alignment between the two datasets. Our particular thanks for the WCVP Fabaceae subset go to: Bob Allkin (Kew), Nick Black (Kew), Markus Döring (GBIF), Joe Miller (GBIF) and Carole Sinou (Canadensys, Université de Montréal) for their help setting up the project and publishing the data. The initiative to update legume species names on WCVP was led by Marianne le Roux (LPWG, South African National Biodiversity Institute), Anne Bruneau (LPWG, Université de Montréal), and Juliana Rando (LPWG, Universidade Federal do Oeste da Bahia). The LPWG Taxonomy Working Group is the Taxonomic Expert Network for the legumes in World Flora Online and Alan Elliott is thanked for his assistance.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.020 |
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".