Bibliographic record
Abstract
A dataset listing the 219 species recorded in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Fossil, Occurrence evidence)", "Continent is Africa", "DatasetKey is one of (Field Museum of Natural History (Zoology) Mammal Collection, NMNH Extant Specimen Records (USNM, US), Royal Ontario Museum - Mammalogy, Activité générale du bureau d'étude BIOTOPE (1994 - 2013) - Données acquises dans le cadre de l'activité du bureau d'étude BIOTOPE Océan Indien depuis 2003, iNaturalist Research-grade Observations, Mobilizing specimen data on bats and rodents from Zimbabwe, Distribution and abundance of different bat species in the interior of Arabuko-Sokoke Forest and adjacent farmlands in Gede, Kilifi County, Kenya, LACM Vertebrate Collection, Wildlife diversity of the Dogo-Kétou forest (Benin, West Africa), AMNH Mammal Collections, Synthèse des données d'observations historiques de micro-chiroptères de La Réunion par des chiroptérologues, UMR PIMIT - LEPTOI - Capture de Micro mammifères dans le cadre du programme de recherche sur la Leptospirose dans l’océan Indien LeptOI, Données d'Eco-Med Océan Indien - Données historiques d'Eco-Med Océan Indien : volet faune, Chiroptères de La Réunion - observations mise en base de données par GCOI - GCOI_export20181017 JDD2, Demande d'autorisation environnementale unique pour exploitation d'une carrière aux buttes du Port - commune du Port - Inventaire acoustiques des chiroptères, Données collectées dans de cadre de la première cartographie des périmètres des ZNIEFF continentales de type 1 et 2 de Mayotte, Projet éolien de la Perrière - Renouvellement, Suivi des roussettes noires (Pteropus niger) à La Réunion : synthèses des données historiques, suivis 2009-2012 et données d’enquêtes - Suivi des roussettes noires (Pteropus niger) à La Réunion : synthèses des données historiques, suivis 2009-2012, Observations fortuites de chauves-souris dans Faune-Réunion - Faune-Réunion - export Chiroptères 10/07/2018, Dossier de Demande d'Autorisation d'Exploiter une carrière de matériaux alluvionnaire au lieu-dit \"Chemin Patelin\" de la commune de Saint-André par la société PREFABLOC AGREGATS - Ecoute acoustique chiropteres, Chiroptères de La Réunion - observations mise en base de données par GCOI - Export des données historiques du GCOI du 09-01-2018 au 29-12-2019, Inventaire chauve-souris Mayotte (GCOI, 2019) - Inventaire de chiroptères : étude acoustique pour un atlas des chiroptères de Mayotte)", "IucnRedListCategory is one of (DD, LC, NT, VU, EN, CR)", "Month is one of (January, February, March, April, May, June, August, July, September, October, November, December)", "OccurrenceStatus is Present", "PublishingOrg is one of (7b8aff00-a9f8-11d8-944b-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862)", "TaxonKey is Chiroptera" ] } The dataset's 219 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000896-250827131500795/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 | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.506 | 0.542 |
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".