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Record W6948765359 · doi:10.5066/p1vfg7yq

USGS National and Global Oil and Gas Assessment Project—West Greenland-East Canada Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

2025· dataset· en· W6948765359 on OpenAlexaboutno aff

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2025
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsUnit (ring theory)GeologistPetroleumGeological surveyContext (archaeology)Fossil fuelImpact assessmentStratigraphic unitBoundary (topology)

Abstract

fetched live from OpenAlex

This data release contains the boundaries of assessment units, assessment input data, and resulting fact sheet data tables for the assessment of undiscovered conventional oil and gas resources in the West Greenland-East Canada Province. The assessment unit is the fundamental unit used in the National and Global Oil and Gas Assessment Project for the assessment of undiscovered oil and gas resources. The assessment unit is defined within the context of the higher-level total petroleum system. The assessment unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the total petroleum system, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The assessment unit boundary is defined geologically as the limits of the geologic elements that define the assessment unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the U.S. Geological Survey (USGS) Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.295
Teacher spread0.279 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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