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Record W6924678675 · doi:10.15468/dl.qhkx4v

Occurrence Download

2017· dataset· en· W6924678675 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2017
Typedataset
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadMatching (statistics)Range (aeronautics)Feature (linguistics)China

Abstract

fetched live from OpenAlex

A dataset containing 1634395 species occurrences available in GBIF matching the query: { "and" : [ "Country is Mexico", "HasGeospatialIssue is false", "HasCoordinate is true", "Geometry POLYGON((-126.386718 31.653381,-114.960937 32.249974,-110.742187 29.075375,-107.226562 25.641526,-104.765625 22.593726,-104.238281 19.973348,-102.304687 18.479609,-97.382812 16.636191,-95.273437 16.299051,-91.582031 15.284185,-90.703125 13.923403,-124.980468 11.867350,-126.386718 31.653381))", { "or" : [ "BasisOfRecord is Human Observation", "BasisOfRecord is Machine Observation", "BasisOfRecord is Observation", "BasisOfRecord is Literature Occurrence", "BasisOfRecord is Specimen", "BasisOfRecord is Material sample" ] }, { "or" : [ "PublishingCountry is Germany", "PublishingCountry is Norway", "PublishingCountry is Puerto Rico", "PublishingCountry is Belgium", "PublishingCountry is Finland", "PublishingCountry is Chinese Taipei", "PublishingCountry is Russian Federation", "PublishingCountry is Portugal", "PublishingCountry is Bulgaria", "PublishingCountry is Japan", "PublishingCountry is Denmark", "PublishingCountry is Luxembourg", "PublishingCountry is France", "PublishingCountry is New Zealand", "PublishingCountry is Brazil", "PublishingCountry is Sweden", "PublishingCountry is United Kingdom of Great Britain and Northern Ireland", "PublishingCountry is United States of America", "PublishingCountry is Canada", "PublishingCountry is Estonia", "PublishingCountry is Ghana", "PublishingCountry is Switzerland", "PublishingCountry is South Africa", "PublishingCountry is Korea, Republic of", "PublishingCountry is Italy", "PublishingCountry is Colombia", "PublishingCountry is Spain", "PublishingCountry is Costa Rica", "PublishingCountry is Venezuela (Bolivarian Republic of)", "PublishingCountry is Argentina", "PublishingCountry is Austria", "PublishingCountry is Australia", "PublishingCountry is Czechia", "PublishingCountry is Nicaragua", "PublishingCountry is Poland", "PublishingCountry is Netherlands" ] } ] } The dataset includes 1634395 records from 399 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084951-160910150852091/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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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 score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.357

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 head0.016
GPT teacher head0.232
Teacher spread0.217 · 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 teacher head, 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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