Bibliographic record
Abstract
A dataset containing 1293563068 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Material sample, Machine Observation, Human Observation, Material citation, Fossil, Specimen, Observation)", "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)", "Country is one of (United Kingdom of Great Britain and Northern Ireland, United States of America, New Zealand, Australia, Peru, Benin, Mexico, Canada, China, Netherlands)", "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from country, Continent derived from coordinates, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, Taxon match higher rank, Taxon match fuzzy, Modified date invalid, Individual count invalid, Occurrence status inferred from individual count, Institution match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Country coordinate mismatch, Country derived from coordinates, Different owner institution)", "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)", "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)", "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)", "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, 6b2f029b-7823-4b84-9c30-31ff364238fe, 5db132f5-ce3f-47a3-a32b-6796c159962c, ef66652d-3cc3-4140-b268-a07d1e53441b, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, aa569acf-991d-4467-b327-8442f30ddbd2, 109cdaa8-5989-4718-b82d-d42255996174, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 9c5f261f-ea0b-4fcd-a57a-b531bdb5df0f, ada9d123-ddb4-467d-8891-806ea8d94230, 32f1b389-5871-4da3-832f-9a89132520c5, a3c228d0-3110-11db-abb8-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 764dc23f-4a2f-4d81-93cb-3cf16077d191)" ] } The dataset includes 1293563068 records from 967 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002639-241106120511685/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) | 0.002 | 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 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.315 | 0.397 |
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".