Bibliographic record
Abstract
A dataset containing 6293 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Material sample, Material citation, Fossil, Living Specimen, Occurrence evidence, Specimen, Human Observation)", "Continent is one of (Asia, Europe, North America)", "Country is one of (Spain, France, Ukraine, Switzerland, Italy, Bulgaria, Austria, Tajikistan, Greece, Russian Federation, United States of America, Kyrgyzstan, Canada, China, Azerbaijan, Korea, Republic of, Germany, Sweden, Andorra, Iran (Islamic Republic of), Norway, Kazakhstan, Romania, Afghanistan, Georgia, Slovakia, North Macedonia, Hungary, Croatia, Armenia, Uzbekistan, Czechia)", "DatasetKey is one of (International Barcode of Life project (iBOL), NDFF Butterfly Data, IberArthro: A database compiling taxonomic and distributional data on Ibero-Balearic arthropods, Records of protected animals species in Ukraine, BCE butterfly data Spain, BCE butterfly data Greece and surrounding countries, Biodiversitätsdatenbank Salzburg, BCE butterfly data expert holiday data throughout Europe, Finds of rare species of animals in Ukraine (2022), Some records of insects and other invertebrates in western regions of Ukraine highlighted in some literature resources)", "HasCoordinate is true", "HasGeospatialIssue is false", "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)", "PublishingOrg is one of (b3bf3a83-1f68-4541-a03f-330d30d567f5, 0510c602-bf08-4c96-af10-82da8bd3c2a3, 74249eb0-0df2-48dd-96a6-be8770eb175b, f43d0d02-84e6-468e-8832-a0906a10b4e9, 7a070ba0-bafb-11d9-8e53-b8a03c50a862, ca2fd897-6108-4361-91f8-b39dc8d12d13)", "TaxonKey is Parnassius Latreille, 1804" ] } The dataset includes 6293 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005107-241107131044228/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 | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.312 | 0.358 |
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".