MétaCan
Menu
Back to cohort
Record W2036567805 · doi:10.4043/19273-ms

The Offshore Petroleum Industry in Atlantic Canada - A Regional Overview

2008· article· en· W2036567805 on OpenAlexaboutno aff
Paul Barnes

Bibliographic record

VenueOffshore Technology Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaSubmarine pipelinePetroleum industryPetroleumGovernment (linguistics)OceanographyGeographyBusinessEngineeringGeology

Abstract

fetched live from OpenAlex

Abstract This paper will give an overview of current and planned future offshore exploration, development and production activity taking place off the east coast of Canada. It will also cover other items of interest occurring in that area including industry related research and development, recent changes in government policy and future growth potential of the industry. Information provided in this paper will be of interest to petroleum supply/service companies wishing to market their goods and services in this region of Canada as it will identify what producers are active in this area and possible future growth opportunities. In addition, the information provided on petroleum related research and development taking place and being applied in the region for offshore development and production would be of interest to a technical audience wishing to apply such research and development to other producing areas. Introduction Atlantic Canada is the eastern region of Canada that is comprised of four provinces - New Brunswick, Prince Edward Island, Nova Scotia and Newfoundland and Labrador. The Atlantic Canada offshore oil and gas industry refers to the oil and natural gas exploration, development and production industry off the east coast of Canada. At this time, all offshore petroleum industry activity is taking place offshore Nova Scotia and Newfoundland and Labrador. Fig. 1 shows the Newfoundland and Labrador and Nova Scotia offshore areas.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.019
GPT teacher head0.208
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueOffshore Technology ConferenceSame topicMarine and Offshore Engineering StudiesFrench-language works237,207