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Record W4393420137 · doi:10.5281/zenodo.10425161

World Flora Online Plant List December 2023

2023· dataset· en· W4393420137 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicEcology and Conservation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFlora (microbiology)GeographyBiologyPaleontology

Abstract

fetched live from OpenAlex

A global consensus classification of vascular plants and bryophytes used as the taxonomic backbone for the World Flora Online (WFO) portal (http://www.worldfloraonline.org) and the WFO Plant List (https://wfoplantlist.org). Initiated in 2012, WFO has developed to represent a comprehensive knowledge base on the world’s plant species. Comprising over 50 botanical institutions and organisations worldwide, the WFO Consortium recognizes the need for the synthesis of botanical knowledge that has been generated through more than 260 years of botanical exploration, taxonomic and, more recently, phylogenetic research throughout the world. Endorsed by the Convention on Biological Diversity, WFO supports the Global Strategy for Plant Conservation (https://www.plants2020.net) and the Montreal-Kunming Global Biodiversity Framework. WFO has become a first-ever global source of information on the world’s plant diversity supported by the international taxonomic community. At the heart of the WFO is a checklist which aims to provide the most up to date source of scientific plant names and their synonyms compiled. The WFO checklist is curated, moderated and updated by an expert and specialist-based global community (Taxonomic Expert Networks ,TENs) covering a taxonomic group. The initial data ingestion into the WFO checklist was undertaken in 2015 using data from The Plant List Version 1.1 (TPL, September 2013). The list of datasets contributing to TPL is given here: https://about.worldfloraonline.org/the-plantlist-data-contributors. New taxonomic names and data updates are regularly incorporated into WFO from nomenclators: International Plant Name Index (IPNI, https://www.ipni.org) for vascular plants, and Tropicos (https://www.tropicos.org) for bryophytes. Classification and nomenclatural updates have been incorporated from WFO TENs, and classification data for taxonomic groups not yet covered by a TEN have been incorporated from the World Checklist of Vascular Plants (WCVP, https://wcvp.science.kew.org), facilitated by the Royal Botanic Gardens, Kew. New versions of this global consensus classification are released every six months, in June and December. Detail of the changes since June 2023, incorporated this December 2023 release, are given here: https://about.worldfloraonline.org/december-2023-release. This data repository includes the following files: wfo_plantlist_2023-12.zip The Catalogue of Life Data Package of the WFO Plant List. This is the most expressive standards based form of the list. plant_list_2023-12.json.gz JSON formatted version of the WFO Plant List. This has been designed for direct import into a schemaless instance of a SOLR index and is used to drive the WFO Plant List API (https://list.worldfloraonline.org) which in turn drives the WFO Plant List in the portal. This is recommended if you want a local, read only version of the list rather than use the API. plant_list_2023-12.sql.gz This is the complete production database (minus logging data and API keys) as a MySQL backup file. It can be restored directly to a MySQL 8.0 or later instance if you require the list in SQL format. ipni_to_wfo.csv.gz A file mapping all the IPNI IDs we track to their associated WFO IDs. families_dwc.tar.gz Individual Darwin Core Archive files for each of 718 recognized families. If you want a single family in DwC but can't load the whole list download and expand this file. Family and genus files are also available for download through the portal. _DwC_backbone_R.zip A single Darwin Core Archive file containing non deprecated names and taxa for use in the existing R package. _uber.zip A single Darwin Core Archive file containing all names and taxa even those that are deprecated along with some extra columns

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.024
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.050

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.

Opus teacher head0.078
GPT teacher head0.259
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it