Bibliographic record
Abstract
A dataset containing 661488 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" ] }, "Country is Colombia", "Geometry POLYGON((-76.38794 4.60928,-77.39868 1.93323,-74.95972 1.25234,-74.05884 4.23686,-76.38794 4.60928))", { "or" : [ "DatasetKey is Colección de Aves del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A)", "DatasetKey is EOD – eBird Observation Dataset", "DatasetKey is Monitoreo Ambiental del Proyecto La Colosa", "DatasetKey is DATAVES", "DatasetKey is Tropicos MO Specimen Data", "DatasetKey is ICN - Universidad Nacional de Colombia", "DatasetKey is Alas del Arroz", "DatasetKey is El Censo Neotropical de Aves Acuáticas en Colombia (CNAA): 2002 - 2011", "DatasetKey is LACM Vertebrate Collection", "DatasetKey is Colección Ornitológica de la Universidad del Valle", "DatasetKey is iNaturalist Research-grade Observations", "DatasetKey is MVZ Bird Collection (Arctos)", "DatasetKey is Colección de Sonidos Ambientales del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CSA)", "DatasetKey is Caracterización de la avifauna de las cuencas de los Ríos Cañas (Dibulla–Guajira), Garupal (Valledupar–Cesar), Arroyo Grande (San Juan Nepomuceno–Bolívar), Aipe (Huila), Yaví (Tolima), Dagua (Valle del Cauca) como insumo para la identificación de oportunidades de conservación y de recuperación de servicios ecosistémicos del bosque seco.", "DatasetKey is Ornithology Collection Passeriformes - Royal Ontario Museum", "DatasetKey is Proyecto COL88611 para la conservación y uso sostenible de ecosistemas secos", "DatasetKey is Xeno-canto - Bird sounds from around the world", "DatasetKey is Colección de Tejidos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CT)", "DatasetKey is Museum of Comparative Zoology, Harvard University", "DatasetKey is Colección Zoológica de la Universidad del Tolima (CZUT) - Ornitología", "DatasetKey is naturgucker" ] }, "TaxonKey is Aves", "HasGeospatialIssue is false" ] } The dataset includes 661488 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004204-191105090559680/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 | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.275 | 0.409 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".