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Record W4395399112 · doi:10.15468/dl.6hta6g

Occurrence Download

2021· dataset· en· W4395399112 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2021
Typedataset
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

A dataset containing 976569 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Human Observation", { "or" : [ "Country is United States of America", "Country is Canada" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d", { "or" : [ "TaxonKey is Adelgidae", "TaxonKey is Agromyzidae", "TaxonKey is Aleyrodidae", "TaxonKey is Anobiidae", "TaxonKey is Anthocoridae", "TaxonKey is Anthomyiidae", "TaxonKey is Aphrophoridae", "TaxonKey is Apionidae", "TaxonKey is Asterolecaniidae", "TaxonKey is Blaberidae", "TaxonKey is Blattelidae", "TaxonKey is Blattidae", "TaxonKey is Bostrichidae", "TaxonKey is Braconidae", "TaxonKey is Buprestidae", "TaxonKey is Byrrhidae", "TaxonKey is Carabidae", "TaxonKey is Carcinophoridae", "TaxonKey is Cecidomyiidae", "TaxonKey is Cephidae", "TaxonKey is Cerambycidae", "TaxonKey is Ceratopogonidae", "TaxonKey is Chrysomelidae", "TaxonKey is Coccidae", "TaxonKey is Coleophoridae", "TaxonKey is Colletidae", "TaxonKey is Coreidae", "TaxonKey is Apidae", "TaxonKey is Coccinellidae", "TaxonKey is Crambidae", "TaxonKey is Cryptophagidae", "TaxonKey is Culicidae", "TaxonKey is Curculionidae", "TaxonKey is Cynipidae", "TaxonKey is Delphacidae", "TaxonKey is Dermestidae", "TaxonKey is Diaspididae", "TaxonKey is Diprionidae", "TaxonKey is Drosophilidae", "TaxonKey is Elateridae", "TaxonKey is Ephydridae", "TaxonKey is Erebidae", "TaxonKey is Eriococcidae", "TaxonKey is Erirhinidae", "TaxonKey is Eulophidae" ] }, "Year 2008-2021" ] } The dataset includes 976569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069758-210914110416597/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 score0.689
Threshold uncertainty score0.983

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 communication0.0030.003
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3110.378

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 head0.048
GPT teacher head0.286
Teacher spread0.238 · 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
Published2021
Admission routes1
Has abstractyes

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