Bibliographic record
Abstract
A dataset containing 580 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "TaxonKey is Zonotrichia leucophrys gambelii (Nuttall, 1840)", "TaxonKey is Zonotrichia leucophrys pugetensis Grinnell, 1928", "TaxonKey is Zonotrichia leucophrys oriantha Oberholser, 1932", "TaxonKey is Zonotrichia leucophrys (J.R.Forster, 1772)" ] }, { "or" : [ "Country is United States of America", "Country is Canada" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "Year is greater than or equal to 1985", "Month April-September", { "or" : [ "DatasetKey is CUMV Bird Collection", "DatasetKey is DMNS Bird Collection (Arctos)", "DatasetKey is CRCM Vertebrate Collection", "DatasetKey is KUBI Ornithology Collection", "DatasetKey is University of Florida Vertebrate Paleontology", "DatasetKey is Angelo State Natural History Collections (ASNHC) - Ornithology Collection", "DatasetKey is Ornithology Collection Passeriformes - Royal Ontario Museum", "DatasetKey is Vertebrate Zoology Division - Ornithology, Yale Peabody Museum", "DatasetKey is UAM Bird Collection (Arctos)", "DatasetKey is Canadian Museum of Nature Bird Collection", "DatasetKey is NMNH Extant Specimen Records (USNM, US)", "DatasetKey is U.S.D.A. Forest Service, Redwood Sciences Laboratory - Lamna Point Count", "DatasetKey is SDNHM Birds Collection", "DatasetKey is Provincial Museum of Alberta, Edmonton, AB, Canada. Birds (Aves)", "DatasetKey is LACM Vertebrate Collection", "DatasetKey is USGS ASC - Changing Arctic Ecosystems - Alaska - Birds", "DatasetKey is MSB Bird Collection (Arctos)", "DatasetKey is University of Michigan Museum of Zoology, Division of Birds", "DatasetKey is CAS Ornithology (ORN)", "DatasetKey is SBMNH Vertebrate Zoology", "DatasetKey is Cowan Tetrapod Collection - Birds", "DatasetKey is CCBER Ornithology Collection", "DatasetKey is Geographically tagged INSDC sequences", "DatasetKey is ISU Birds", "DatasetKey is AMNH Bird Collection", "DatasetKey is University of Alberta Museum of Zoology Ornithology Collection (UAMZ)", "DatasetKey is PSM Vertebrates Collection", "DatasetKey is MVZ Bird Collection (Arctos)", "DatasetKey is WFVZ Bird Collections", "DatasetKey is Marsh Monitoring Program - Birds" ] } ] } The dataset includes 580 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056925-160910150852091/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 | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 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) | 0.385 | 0.511 |
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".