Bibliographic record
Abstract
A dataset containing 11 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Observation, Human Observation, Specimen, Material citation, Material sample)", "Country is Ecuador", "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, University of Michigan Museum of Zoology, Division of Birds, Museum of Comparative Zoology, Harvard University, Xeno-canto - Bird sounds from around the world, WFVZ Bird Collections, Academy of Natural Sciences of Philadelphia Ornithology Collection, International Barcode of Life project (iBOL), Macaulay Library Audio and Video Collection, Observation.org, Nature data from around the World, NMNH Extant Specimen Records (USNM, US), KUBI Herpetology Collection, Colección de reptiles del Museo de Historia Natural \"Gustavo Orcés V.\" de la Escuela Politécnica Nacional, Canadian Museum of Nature Fish Collection, Colección de Anfibios del Museo de Zoología QCAZ, Colección de Reptiles del Museo de Zoología QCAZ, Angelo State Natural History Collections (ASNHC) Mammal specimens (Arctos), Ichthyology Collection - Royal Ontario Museum, Colección Vertebrados Museo de Zoología de la USFQ, Museu de Ciències Naturals de Barcelona: MCNB-Cord, MSU Mammalogy, Ornithology and Vertebrate Paleontology Collections)", "GadmGid is one of (ECU.7.8_1, ECU.7.8.2_1)", "HasCoordinate is true", "HasGeospatialIssue is false", "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)", "OccurrenceStatus is Present", "TaxonKey is Testudines" ] } The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070350-240626123714530/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 | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.382 | 0.468 |
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".