Bibliographic record
Abstract
A dataset containing 2056 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Human Observation", "BasisOfRecord is Specimen", "BasisOfRecord is Occurrence evidence" ] }, { "or" : [ "DatasetKey is WFVZ Bird Collections", "DatasetKey is NatureServe Network Species Occurrence Data", "DatasetKey is Museum of Comparative Zoology, Harvard University", "DatasetKey is iNaturalist Research-grade Observations", "DatasetKey is Natural History Museum (London) Collection Specimens", "DatasetKey is University of Michigan Museum of Zoology, Division of Birds", "DatasetKey is NHMD Ornithology Collection", "DatasetKey is AMNH Bird Collection", "DatasetKey is Ornithology Collection Non Passeriformes - Royal Ontario Museum", "DatasetKey is Field Museum of Natural History (Zoology) Bird Collection" ] }, { "or" : [ "Issue is Geodetic datum assumed WGS84", "Issue is Coordinate reprojected", "Issue is Occurrence status inferred from individual count", "Issue is Institution match fuzzy", "Issue is Collection match fuzzy", "Issue is Geodetic datum invalid", "Issue is Coordinate rounded", "Issue is Institution collection mismatch", "Issue is Type status invalid" ] }, { "or" : [ "Month is January", "Month is February", "Month is March", "Month is April", "Month is May", "Month is June", "Month is July", "Month is August", "Month is September", "Month is October", "Month is November", "Month is December" ] }, { "or" : [ "PublishingOrg is 80960f60-ad5e-11da-9c37-b8a03c50a862", "PublishingOrg is 19456090-b49a-11d8-abeb-b8a03c50a862", "PublishingOrg is b4640710-8e03-11d8-b956-b8a03c50a862", "PublishingOrg is 6ea87510-0561-11d8-b851-b8a03c50a862", "PublishingOrg is ff418020-1d67-11d9-8435-b8a03c50a862", "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d", "PublishingOrg is 7b8aff00-a9f8-11d8-944b-b8a03c50a862", "PublishingOrg is ccd1ddc0-6c21-11de-8224-b8a03c50a862" ] }, "TaxonKey is Falco peregrinus anatum Bonaparte, 1838" ] } The dataset includes 2056 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146831-210914110416597/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 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.011 |
| 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) | 0.368 | 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".