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Record W6924868871 · doi:10.15468/dl.s5gcbq

Occurrence Download

2019· dataset· en· W6924868871 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2019
Typedataset
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsGeodetic datumCoordinate systemElevation (ballistics)Geographic coordinate conversionMatching (statistics)Base (topology)Taxon

Abstract

fetched live from OpenAlex

A dataset containing 988 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Specimen", { "or" : [ "Country is United States of America", "Country is Canada" ] }, { "or" : [ "Issue is Zero coordinate", "Issue is Coordinate out of range", "Issue is Coordinate invalid", "Issue is Geodetic datum invalid", "Issue is Geodetic datum assumed WGS84", "Issue is Coordinate reprojected", "Issue is Coordinate reprojection failed", "Issue is Coordinate reprojection suspicious", "Issue is Coordinate accuracy invalid", "Issue is Coordinate precision invalid", "Issue is Coordinate uncertainty meters invalid", "Issue is Coordinate precision/uncertainty mismatch", "Issue is Country coordinate mismatch", "Issue is Country mismatch", "Issue is Country invalid", "Issue is Country derived from coordinates", "Issue is Continent country mismatch", "Issue is Continent invalid", "Issue is Continent derived from coordinates", "Issue is Presumed swapped coordinate", "Issue is Presumed negated longitude", "Issue is Presumed negated latitude", "Issue is Recorded date mismatch", "Issue is Recorded date invalid", "Issue is Recorded date unlikely", "Issue is Taxon match fuzzy", "Issue is Taxon match higher rank", "Issue is Taxon match none", "Issue is Depth not metric", "Issue is Depth unlikely", "Issue is Depth min max swapped", "Issue is Depth non numeric", "Issue is Elevation unlikely", "Issue is Elevation min max swapped", "Issue is Elevation not metric", "Issue is Elevation non numeric", "Issue is Modified date invalid", "Issue is Modified date unlikely", "Issue is Identified date unlikely", "Issue is Identified date invalid", "Issue is Basis of record invalid", "Issue is Type status invalid", "Issue is Multimedia date invalid", "Issue is Multimedia URI invalid", "Issue is References URI invalid", "Issue is Error during interpretation", "Issue is Individual count invalid" ] }, "HasCoordinate is true", "TaxonKey is Menidia menidia (Linnaeus, 1766)", "HasGeospatialIssue is false" ] } The dataset includes 988 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018021-191105090559680/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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.493
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.496

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 head0.036
GPT teacher head0.254
Teacher spread0.218 · 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; both teacher heads 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
Published2019
Admission routes1
Has abstractyes

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