Bibliographic record
Abstract
A dataset containing 7373691 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Human Observation", "BasisOfRecord is Material sample", "BasisOfRecord is Specimen", "BasisOfRecord is Fossil", "BasisOfRecord is Unknown evidence" ] }, { "or" : [ "Continent is Africa", "Continent is Antarctica", "Continent is Asia", "Continent is Oceania", "Continent is Europe", "Continent is North America", "Continent is South America" ] }, { "or" : [ "Country is United Kingdom of Great Britain and Northern Ireland", "Country is United States of America", "Country is Canada", "Country is Brazil", "Country is Greenland", "Country is Portugal", "Country is Australia", "Country is Costa Rica", "Country is Senegal", "Country is Mexico", "Country is South Africa", "Country is Zimbabwe", "Country is Mozambique", "Country is Cameroon", "Country is Congo", "Country is Kenya", "Country is Gabon", "Country is Zambia", "Country is Congo, Democratic Republic of the", "Country is Gambia", "Country is Germany", "Country is Sweden", "Country is Denmark", "Country is Poland", "Country is Netherlands", "Country is Ukraine", "Country is Norway", "Country is France", "Country is Ireland", "Country is Dominican Republic", "Country is Colombia", "Country is Argentina", "Country is Peru" ] }, { "or" : [ "PublishingOrg is 296fe5cf-ae43-4212-8f77-293e807d0d5a", "PublishingOrg is c5f7ef70-e233-11d9-a4d6-b8a03c50a862", "PublishingOrg is 609765e0-4ce8-11db-b80e-b8a03c50a862", "PublishingOrg is d9699a79-4736-45c2-925c-f4033ac67d52", "PublishingOrg is b554c320-0560-11d8-b851-b8a03c50a862", "PublishingOrg is 5a45153b-bdf9-44ae-b7a7-e3261896540b", "PublishingOrg is 6ba9a8cc-513a-4a51-bf93-6f5de8040a96", "PublishingOrg is 750a8724-fa66-4c27-b645-bd58ac5ee010", "PublishingOrg is d2b97690-bfd6-11de-b279-d52977ace833", "PublishingOrg is f2489500-dbab-4fbc-95ed-19eead127483" ] }, { "or" : [ "Issue is Coordinate rounded", "Issue is Geodetic datum invalid", "Issue is Geodetic datum assumed WGS84", "Issue is Coordinate reprojected", "Issue is Coordinate precision invalid", "Issue is Country derived from coordinates", "Issue is Recorded date mismatch" ] } ] } The dataset includes 7373691 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041282-200221144449610/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 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.354 | 0.416 |
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".