Bibliographic record
Abstract
A dataset containing 420 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Observation", "BasisOfRecord is Machine Observation", "BasisOfRecord is Human Observation", "BasisOfRecord is Material sample", "BasisOfRecord is Literature Occurrence", "BasisOfRecord is Specimen", "BasisOfRecord is Fossil", "BasisOfRecord is Living Specimen", "BasisOfRecord is Unknown evidence" ] }, { "or" : [ "PublishingOrg is ff418020-1d67-11d9-8435-b8a03c50a862", "PublishingOrg is 7b8aff00-a9f8-11d8-944b-b8a03c50a862", "PublishingOrg is 76513b28-548d-480a-8859-bd7f45f8724b", "PublishingOrg is c3809434-1211-4b43-b20c-bd940780d30e", "PublishingOrg is 2a7e3080-28a9-11dd-97cd-b8a03c50a862", "PublishingOrg is 23539a57-1347-4dd3-af2a-cf9478563baa", "PublishingOrg is 8edbbde0-055e-11d8-b850-b8a03c50a862" ] }, "Geometry POLYGON((-75.35385 11.18134,-75.36209 10.75012,-74.93362 10.16235,-74.6727 10.59906,-74.7551 11.20056,-75.35385 11.18134))", { "or" : [ "DatasetKey is Evaluación de la presencia de 'Marmosa robinsoni' e inventario de mamíferos en el Departamento del Atlántico", "DatasetKey is Registros de quirópteros de tres localidades del caribe colombiano", "DatasetKey is Tejidos de quirópteros de tres localidades del caribe colombiano", "DatasetKey is Colección de Tejidos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CT)", "DatasetKey is Registros Primates Neotropicales Convocatoria APC", "DatasetKey is Field Museum of Natural History (Zoology) Mammal Collection", "DatasetKey is Mammals housed at MHNG, Geneva", "DatasetKey is MVZ Mammal Collection (Arctos)", "DatasetKey is Colección de Mamíferos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-M)", "DatasetKey is Mammalogy Collection - Royal Ontario Museum" ] }, "TaxonKey is Mammalia" ] } The dataset includes 420 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014962-181003121212138/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 | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.413 | 0.513 |
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".