MétaCan
Menu
Back to cohort
Record W4395182886 · doi:10.15468/dl.0wifus

Occurrence Download

2023· dataset· en· W4395182886 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2023
Typedataset
Languageen
FieldEngineering
TopicSatellite Image Processing and Photogrammetry
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadComputer scienceMathematicsWorld Wide Web

Abstract

fetched live from OpenAlex

A dataset containing 209111 species occurrences available in GBIF matching the query: { "and" : [ "HasCoordinate is true", { "or" : [ "TaxonKey is Meiglyptes tukki (R.Lesson, 1839)", "TaxonKey is Crossoptilon harmani Elwes, 1881", "TaxonKey is Coturnix japonica Temminck & Schlegel, 1848", "TaxonKey is Psittacara wagleri (G.R.Gray, 1845)", "TaxonKey is Psittacara frontatus (Cabanis, 1846)", "TaxonKey is Coracopsis sibilans Milne-Edwards & Oustalet, 1885", "TaxonKey is Otus sulaensis (Hartert, 1898)", "TaxonKey is Rallus elegans Audubon, 1834", "TaxonKey is Chrysophlegma mentale (Temminck, 1826)", "TaxonKey is Chrysophlegma humii Hargitt, 1889", "TaxonKey is Ceyx wallacii Sharpe, 1868", "TaxonKey is Psophia crepitans Linnaeus, 1758", "TaxonKey is Amazona guatemalae (Sclater, 1860)", "TaxonKey is Amazona farinosa (Boddaert, 1783)", "TaxonKey is Eupsittula nana (Vigors, 1830)", "TaxonKey is Malacoptila striata (von Spix, 1824)", "TaxonKey is Ceyx fallax (Schlegel, 1866)", "TaxonKey is Lophura inornata (Salvadori, 1879)", "TaxonKey is Goura sclaterii Salvadori, 1876", "TaxonKey is Hydrornis irena (Temminck, 1836)", "TaxonKey is Merops mentalis Cabanis, 1889", "TaxonKey is Synallaxis beverlyae Hilty & Ascanio, 2009", "TaxonKey is Erythropitta granatina (Temminck, 1830)", "TaxonKey is Robsonius sorsogonensis (Rand & Rabor, 1967)", "TaxonKey is Hypocnemis cantator (Boddaert, 1783)", "TaxonKey is Trochalopteron fairbanki Blanford, 1869", "TaxonKey is Buteogallus gundlachii (Cabanis, 1855)", "TaxonKey is Dasycrotapha plateni (W.Blasius, 1890)", "TaxonKey is Spelaeornis chocolatinus (Godwin-Austen & Walden, 1875)", "TaxonKey is Clytorhynchus nigrogularis (E.L.Layard, 1875)", "TaxonKey is Rigidipenna inexpectata (Hartert, 1901)", "TaxonKey is Dasycrotapha pygmaea (Ogilvie-Grant, 1896)", "TaxonKey is Garrulax taewanus Swinhoe, 1859", "TaxonKey is Garrulax ferrarius Riley, 1930", "TaxonKey is Chloropsis cochinchinensis (Gmelin, 1789)", "TaxonKey is Rhynchostruthus louisae Lort Phillips, 1897", "TaxonKey is Geokichla interpres (Temminck, 1828)", "TaxonKey is Geokichla joiceyi (Rothschild & Hartert, 1921)", "TaxonKey is Myophonus castaneus R.G.W.Ramsay, 1880", "TaxonKey is Geokichla mendeni (Neumann, 1939)", "TaxonKey is Geokichla leucolaema (Salvadori, 1892)", "TaxonKey is Erythropitta ussheri (Gould, 1877)", "TaxonKey is Megapodius tenimberensis P.L.Sclater, 1883", "TaxonKey is Amytornis merrotsyi Mellor, 1913", "TaxonKey is Archboldia papuensis Rand, 1940", "TaxonKey is Rallus obsoletus Ridgway, 1874", "TaxonKey is Pyrilia aurantiocephala (Gaban-Lima, Raposo, M & Höfling, 2002)", "TaxonKey is Motacilla samveasnae J.W.Duckworth, Alstrom, P.Davidson, T.D.Evans, C.M.Poole, T.Setha & R.J.Timmins, 2001", "TaxonKey is Spilornis klossi Richmond, 1902" ] }, "HasGeospatialIssue is false" ] } The dataset includes 209111 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011529-190621201848488/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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.684
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.011
Science and technology studies0.0010.000
Scholarly communication0.0040.004
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3160.443

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.

Opus teacher head0.015
GPT teacher head0.216
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Biodiversity Information FacilitySame topicSatellite Image Processing and PhotogrammetryFrench-language works237,207