Bibliographic record
Abstract
A dataset containing 4875011 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)", "Continent is North America", "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Ecological Genomics of a Seasonally Anoxic Fjord; Saanich Inlet, DFO Pacific: Herring Biosample Database, Pacific Multispecies Small Mesh Bottom Trawl Survey, International Barcode of Life project (iBOL), Centre for Biodiversity Genomics - Canadian Specimens, INSDC Sequences, Royal BC Museum - Herbarium (V), Royal BC Museum - Invertebrates Collection)", "Geometry POLYGON((-124.0042 48.36697,-123.72615 48.32172,-123.54174 48.28019,-123.4169 48.39712,-123.29207 48.38959,-123.2183 48.42537,-123.25518 48.49122,-123.32044 48.57577,-123.34881 48.67141,-123.32985 48.74231,-123.22754 48.72379,-123.07908 48.73702,-123.01087 48.78595,-123.15331 48.83484,-123.32183 48.92587,-123.39606 48.94959,-123.53649 48.93114,-123.61272 48.91796,-123.58865 48.86784,-123.54652 48.79124,-123.53047 48.70658,-123.50439 48.62443,-123.67912 48.56684,-123.89945 48.43108,-124.0042 48.36697))", "HasCoordinate is true", "HasGeospatialIssue is false", "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)", "OccurrenceStatus is Present", "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, c98a8d0d-cab2-4506-8c0f-c91a5e4996b9, ab733144-7043-4e88-bd4f-fca7bf858880, b3bf3a83-1f68-4541-a03f-330d30d567f5, 296fe5cf-ae43-4212-8f77-293e807d0d5a, ada9d123-ddb4-467d-8891-806ea8d94230, cc6110c7-f75c-47c8-8931-f7dd3f324777)" ] } The dataset includes 4875011 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009899-240216155721649/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) | 0.002 | 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) | 0.351 | 0.428 |
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".