Bibliographic record
Abstract
A dataset containing 1502 species occurrences available in GBIF matching the query: { "and" : [ "Country is United States of America", { "or" : [ "DatasetKey is Biodiversity Research and Teaching Collections - TCWC Vertebrates", "DatasetKey is 7a25f7aa-03fb-4322-aaeb-66719e1a9527", "DatasetKey is 832b8188-f762-11e1-a439-00145eb45e9a", "DatasetKey is NMNH Extant Specimen Records (USNM, US)", "DatasetKey is AMNH Herpetology Collections", "DatasetKey is TNHC Herpetology Collection", "DatasetKey is UTA Reptiles", "DatasetKey is LSUMZ Herps Collection", "DatasetKey is Auburn University Museum of Natural History Herpetology Voucher Collections", "DatasetKey is NCSM Herpetology Collection", "DatasetKey is FHSM Herps Collection", "DatasetKey is CAS Herpetology (HERP)", "DatasetKey is UTEP Herpetology (Arctos)", "DatasetKey is Reptile Specimens", "DatasetKey is Tissues Specimens", "DatasetKey is Vertebrate Zoology Division - Herpetology, Yale Peabody Museum", "DatasetKey is Museum of Comparative Zoology, Harvard University", "DatasetKey is KUBI Herpetology Collection", "DatasetKey is MVZ Herp Collection (Arctos)", "DatasetKey is Geographically tagged INSDC sequences", "DatasetKey is Georgia Southern University - Savannah Science Museum Herpetology Collection", "DatasetKey is Southeastern Louisiana University Herpetology Collection", "DatasetKey is Canadian Museum of Nature Amphibian and Reptile Collection", "DatasetKey is International Barcode of Life project (iBOL)", "DatasetKey is 51fa0155-a545-4154-ac20-b89dbb2c312b", "DatasetKey is 8935e64a-f762-11e1-a439-00145eb45e9a", "DatasetKey is 96c25708-f762-11e1-a439-00145eb45e9a", "DatasetKey is a8ee9bc6-5914-427d-9fba-f8545250ac34", "DatasetKey is e6c97f6e-e952-11e2-961f-00145eb45e9a" ] }, "HasCoordinate is true", "TaxonKey is Hemidactylus turcicus (Linnaeus, 1758)" ] } The dataset includes 1502 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043411-191105090559680/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 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.517 | 0.612 |
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".