Bibliographic record
Abstract
A dataset containing 451596 species occurrences available in GBIF matching the query: { "and" : [ "DatasetKey is one of (iNaturalist Research-grade Observations, Lyman Entomological Museum (LEMQ), International Barcode of Life project (iBOL), INSDC Sequences, eButterfly Surveys, Centre for Biodiversity Genomics - Canadian Specimens, Great Backyard Bird Count, USGS PWRC - Bird Phenology Program, Lyman Entomological Museum, EOD – eBird Observation Dataset, Birda - Global Observation Dataset, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, NABU|naturgucker, Earth Guardians Weekly Feed)", "Geometry POLYGON((-73.49508 45.70181,-73.53551 45.68778,-73.57482 45.66363,-73.6276 45.62769,-73.64557 45.5968,-73.66635 45.56704,-73.73374 45.52942,-73.67871 45.5019,-73.5911 45.41992,-73.53888 45.47383,-73.54337 45.5019,-73.51361 45.56536,-73.49566 45.58149,-73.50294 45.60804,-73.47574 45.64272,-73.47206 45.67093,-73.46476 45.70125,-73.49508 45.70181))", "OccurrenceStatus is Present", "TaxonKey is Aves", "Year 2023-2025" ] } The dataset includes 451596 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044618-251009101135966/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 | 0.010 |
| 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) | 0.309 | 0.413 |
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".