Bibliographic record
Abstract
A dataset containing 10 species occurrences available in GBIF matching the query: { "and" : [ "Country is Colombia", "DatasetKey is one of (Inventory and BioBlitz Records from rare Charitable Research Reserve, Centre for Biodiversity Genomics - Canadian Specimens, INSDC Sequences, Caracterización de la biodiversidad de la microcuenca de la quebrada La Aurora para el diseño de un corredor urbano y periurbano que facilite la conectividad ecológica en el municipio de Ibagué, departamento del Tolima, Museum of Comparative Zoology, Harvard University, New Brunswick Museum - Insects, The Lepidopterists' Society Season Summary, Royal Ontario Museum - Entomology Collection, eButterfly Surveys, Caracterización de fauna en diferentes gradientes altitudinales del departamento de Boyacá, Colombia, Monitoreo de flora y fauna en la cuenca hidrográfica quebrada Garzón y en el Cerro Páramo Miraflores, en municipio de Garzón, Huila, Gestión para el Monitoreo Participativo de Biodiversidad en las cuencas del río Frío, Cartama y San Antonio del Municipio de Támesis, Antioquia)", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Cupido comyntas" ] } The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034453-250920141307145/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 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.476 | 0.522 |
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".