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Record W6887081878 · doi:10.15468/dl.p9ebfw

Occurrence Download

2020· dataset· en· W6887081878 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2020
Typedataset
Languageen
FieldEngineering
TopicAdvanced Image Fusion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsRange (aeronautics)AnasDownloadAccipitridae

Abstract

A dataset containing 4076537 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Catharus fuscescens (Stephens, 1817), Ixobrychus exilis (Gmelin, 1789), Eudocimus albus (Linnaeus, 1758), Myioborus pictus (Swainson, 1829), Tadorna tadorna (Linnaeus, 1758), Onychoprion anaethetus (Scopoli, 1786), Ictinia mississippiensis (A.Wilson, 1811), Crex crex (Linnaeus, 1758), Leucosticte tephrocotis (Swainson, 1832), Cyanocitta cristata (Linnaeus, 1758), Vireo griseus (Boddaert, 1783), Branta bernicla (Linnaeus, 1758), Vireo plumbeus Coues, 1866, Acridotheres cristatellus (Linnaeus, 1758), Strix nebulosa J.R.Forster, 1772, Peucaea aestivalis (M.H.K.Lichtenstein, 1823), Vireo olivaceus (Linnaeus, 1766), Pitangus sulphuratus (Linnaeus, 1766), Limosa fedoa (Linnaeus, 1758), Vireo flavifrons Vieillot, 1808, Pyrrhula pyrrhula (Linnaeus, 1758), Ixoreus naevius (Gmelin, 1789), Piranga olivacea (J.F.Gmelin, 1789), Ammodramus savannarum (J.F.Gmelin, 1789), Anas platyrhynchos Linnaeus, 1758, Ara chloropterus G.R.Gray, 1859, Alauda arvensis Linnaeus, 1758, Gavia stellata (Pontoppidan, 1763), Leiothlypis ruficapilla (A.Wilson, 1811), Limosa lapponica (Linnaeus, 1758), Stercorarius maccormicki H.Saunders, 1893, Poecile gambeli (Ridgway, 1886), Pterodroma ultima Murphy, 1949)", "Country is Canada", "HasCoordinate is true", "HasGeospatialIssue is false" ] } The dataset includes 4076537 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048149-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: other
about Canada: no
confidence: high

GBIF occurrence download of bird records for Canada; a biodiversity data export.

GPT-5.6 (high)OUT
genre: other
about Canada: no
confidence: high

The record is a biodiversity occurrence dataset, not a study of research.

Grok 4.5OUT
genre: other
about Canada: no
confidence: high

Large GBIF bird occurrence download; biodiversity data product, not metaresearch.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.709
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.011
Science and technology studies0.0010.000
Scholarly communication0.0040.004
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.2910.435

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 head0.010
GPT teacher head0.207
Teacher spread0.197 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueGlobal Biodiversity Information FacilitySame topicAdvanced Image Fusion TechniquesFrench-language works237,207