Bibliographic record
Abstract
A dataset containing 80 species occurrences available in GBIF matching the query: { "and" : [ "Country is Brazil", { "or" : [ "DatasetKey is Museu Paraense Emílio Goeldi - Ornithology Collection - Feathers_and_Skin", "DatasetKey is Coleção de Aves do Museu Nacional / UFRJ", "DatasetKey is Museu_Paraense_Emilio_Goeldi_Ornithology_Collection-Skin", "DatasetKey is Collection Aves (bird skins) SMF", "DatasetKey is Field Museum of Natural History (Zoology) Bird Collection", "DatasetKey is LACM Vertebrate Collection", "DatasetKey is NMNH Extant Specimen Records (USNM, US)", "DatasetKey is Museu Paraense Emilio Goeldi - Ornithology Collection - Anatomic", "DatasetKey is Museu Paraense Emílio Goeldi - Ornithology Collection - Osteological", "DatasetKey is Vertebrate Zoology Division - Ornithology, Yale Peabody Museum", "DatasetKey is CM Birds Collection", "DatasetKey is LSUMZ Birds Collection", "DatasetKey is AMNH Bird Collection", "DatasetKey is Naturalis Biodiversity Center (NL) - Aves", "DatasetKey is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Ornithology National Collection (MACNOr)", "DatasetKey is The Hummingbird Collection of the Natural History and Science Museum of the University of Porto (MHNC-UP)", "DatasetKey is Collection ornithologique A. Maës", "DatasetKey is Coleção de Aves Heretiano Zenaide", "DatasetKey is Bird Collection of Museum and Institute of Zoology PAS", "DatasetKey is Ornithology Collection Non Passeriformes - Royal Ontario Museum", "DatasetKey is Natural History Museum (London) Collection Specimens", "DatasetKey is MCP-Aves - Coleção de Aves", "DatasetKey is UMZC Zoological Specimens", "DatasetKey is NHMO Bird collection", "DatasetKey is Collection Aves (bird skeletons) SMF", "DatasetKey is RBINS Bird collection", "DatasetKey is The birds collection (ZO) of the Muséum national d'Histoire Naturelle (MNHN - Paris)", "DatasetKey is Lund University Biological Museum - Zoological collections (MZLU)", "DatasetKey is Bird specimens of the Yamashina Institute for Ornithology", "DatasetKey is Baillon Collection", "DatasetKey is Canadian Museum of Nature Bird Collection", "DatasetKey is KUBI Ornithology Collection", "DatasetKey is CUMV Bird Collection", "DatasetKey is University of Michigan Museum of Zoology, Division of Birds", "DatasetKey is NMNH Material Samples (USNM)", "DatasetKey is CMNH Birds Collection", "DatasetKey is LSUMZ Bird Tissues", "DatasetKey is Macaulay Library Audio and Video Collection", "DatasetKey is University of Tartu Natural History Museum and Botanical Garden Zooloogical Collections" ] }, "TaxonKey is Dendrocincla turdina (Lichtenstein, 1820)" ] } The dataset includes 80 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200035-200613084148143/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 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.015 |
| 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) | 0.396 | 0.526 |
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".