Bibliographic record
Abstract
A dataset listing the 2203 species recorded in GBIF matching the query: { "and" : [ "Country is Belgium", { "or" : [ "DatasetKey is Belgian Coccinellidae - Ladybird beetles in Belgium", "DatasetKey is Collection of saproxylic and xylobiont Beetles", "DatasetKey is ULg_Hexapoda", "DatasetKey is RBINS DaRWIN", "DatasetKey is Chrysomelidae of Central Europe", "DatasetKey is University of Alberta E. H. Strickland Entomological Museum (UASM)", "DatasetKey is Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium", "DatasetKey is Likona Invertebrates", "DatasetKey is iNaturalist Research-grade Observations", "DatasetKey is Dung Beetles of the Western Palaearctic", "DatasetKey is Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data", "DatasetKey is Manscape", "DatasetKey is International Barcode of Life project (iBOL)", "DatasetKey is Geographically tagged INSDC sequences", "DatasetKey is Waarnemingen.be - Butterfly occurrences in Flanders and the Brussels Capital Region, Belgium", "DatasetKey is Alterra (NL) - Comparison of entomofauna in four different habitats", "DatasetKey is Dutch Foundation for Applied Water Research (STOWA) - Limnodata Neerlandica", "DatasetKey is Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium", "DatasetKey is Observations.be - Non-native species occurrences in Wallonia, Belgium", "DatasetKey is DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium", "DatasetKey is DEMNA-DNE : Occurrences of benthic macroinvertebrates in running waters of Wallonia, Belgium", "DatasetKey is naturgucker", "DatasetKey is Earth Guardians Weekly Feed", "DatasetKey is Plecoptera", "DatasetKey is Fauna and flora inventories (terrestrial and limnetic) from the South of Belgium", "DatasetKey is Natural History Museum Rotterdam - Specimens", "DatasetKey is Observation.org, Nature data from around the World", "DatasetKey is Natagriwal ; Observations made from operations within Natura 2000 habitats and other semi-natural areas" ] }, "GadmGid is BEL.2_1", "OccurrenceStatus is Present", "TaxonKey is Coleoptera", "Year 2000-2020" ] } The dataset's 2203 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146067-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.460 | 0.599 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".