Bibliographic record
Abstract
A dataset containing 3868823 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Apatura ilia (Denis & Schiffermüller), 1775, Apatura iris (Linnaeus, 1758), Apatura metis Frey, 1829, Aporia crataegi (Linnaeus, 1758), Araschnia levana (Linnaeus, 1758), Argynnis laodice Pallas, 1771, Argynnis pandora (Denis & Schiffermüller, 1775), Argynnis paphia (Linnaeus, 1758), Boloria euphrosyne (Linnaeus, 1758), Boloria graeca Staudinger, 1870, Brintesia circe (Fabricius, 1775), Carterocephalus silvicola (Meigen, 1829), Celastrina argiolus (Linnaeus, 1758), Coenonympha arcania Linnaeus, 1761, Coenonympha hero (Linnaeus, 1761), Coenonympha leander Esper, 1784, Erebia aethiopellus Hoffmannsegg, 1806, Erebia aethiops Esper, 1777, Erebia euryale Esper, 1777, Erebia ligea (Linnaeus, 1758), Erebia neoridas Boisduval, 1830, Erebia zapateri Oberthür, 1875, Euphydryas intermedia (Ménétriès, 1859), Euphydryas maturna (Linnaeus, 1758), Fabriciana elisa (Godart, 1823), Favonius quercus (Linnaeus, 1758), Gonepteryx rhamni (Linnaeus, 1758), Hipparchia fagi Scopoli, 1763, Hipparchia hermione Linnaeus, 1764, Hipparchia syriaca Staudinger, 1871, Kirinia roxelana (Cramer, 1777), Laeosopis roboris (Esper, 1790), Lasiommata maera (Linnaeus, 1758), Lasiommata petropolitana (Fabricius, 1787), Libythea celtis (Füssly, 1782), Limenitis populi (Linnaeus, 1758), Limenitis reducta Staudinger, 1901, Lopinga achine (Scopoli, 1763), Melitaea aetherie Hübner, Neptis rivularis (Scopoli, 1763), Neptis sappho Pallas, 1771, Nymphalis antiopa (Linnaeus, 1758), Nymphalis polychloros (Linnaeus, 1758), Nymphalis xanthomelas (Denis & Schiffermüller), 1775, Pararge aegeria (Linnaeus, 1758), Polygonia c-album (Linnaeus, 1758), Satyrium acaciae (Fabricius, 1787), Satyrium ilicis (Esper, 1779), Satyrium pruni (Linnaeus, 1758), Satyrium w-album (Knoch, 1782), Thecla betulae (Linnaeus, 1758))", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "BasisOfRecord is one of (Human Observation, Machine Observation)", "Year is greater than or equal to 2010", "Geometry POLYGON ((-10.38743 34.57181, 34.39352 34.57181, 34.39352 70.0864, -10.38743 70.0864, -10.38743 34.57181))" ] } The dataset includes 3868823 records from 3038 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023734-230530130749713/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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.358 | 0.472 |
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".