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Record W6929603740 · doi:10.5066/p9795bib

Geologic provinces of Europe including Turkey, 2000 (prv4_2l)

2003· dataset· en· W6929603740 on OpenAlexaboutno aff

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2003
Typedataset
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGeological surveySubmarine pipelineMineral resource classificationGeologic mapPolygon (computer graphics)BathymetryAdministrative division

Abstract

fetched live from OpenAlex

This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of Europe including Turkey. (Albania, Andorra, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, The Former Yugoslav Republic of Macedonia, Malta, Monaco, Netherlands, Norway, Poland, Portugal, Romania, San Marino, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom and Vatican City.) Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are generally defined by the 2000 meter bathymetric contour, but where appropriate are defined by the 4000 meter bathymetric contour. In some cases province boundaries are delineated by political boundaries, as in the case of The United States and Canada, because United States petroleum resources were assessed separately by the U.S. Geological Survey. Provinces are classified as either Priority or Boutique. A priority province is one of 76 non-U.S. geologic provinces defined by the U.S. Geological Survey that together contain 95 percent of the world's non-U.S. known petroleum volume. All priority provinces were analyzed for undiscovered petroleum-resources. A boutique province is a geologic province, other than a priority province, as defined by the U.S. Geological Survey, considered for petroleum-resource assessment. Boutique provinces can be chosen for a variety of geologic, political, technical and geographic reasons. Resource-assessments are conducted by research scientists of the U.S Geological Survey's World Petroleum Assessment 2000 by means of a combination of Petroleum System analysis based on available geologic information, and statistical analysis of production and exploration information.

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 score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.037
GPT teacher head0.249
Teacher spread0.213 · 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
Published2003
Admission routes1
Has abstractyes

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