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Record W4252622413 · doi:10.1002/div.5810

Canadian Natural Resources Ltd.

2007· article· en· W4252622413 on OpenAlexaboutno aff

Bibliographic record

VenueMergent s Dividend Achievers · 2007
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMidstreamNatural gasSubmarine pipelinePetroleumLiquefied natural gasCrude oilNatural (archaeology)Fossil fuelOil and natural gasPetroleum industryNatural resourceNatural gas industryGeographyEnvironmental scienceEnvironmental protectionPetroleum engineeringGeologyOceanographyEngineeringArchaeologyWaste managementEnvironmental engineeringEcologyPaleontologyBiology

Abstract

fetched live from OpenAlex

Abstract Oil and Gas (MIC: 14.2 SIC: 1311 NAIC: 211111) Canadian Natural Resources is a crude oil and natural gas exploration, development and production company. Co.'s operations are focused in North America, largely in Western Canada, the United Kingdom portion of the North Sea and Offshore West Africa. Within Western Canada, Co. is developing its Horizon Oil Sands Project and maintains its midstream activities. As of Dec 31 2006, total proved reserves for crude oil and natural gas liquids and natural gas were 1,316 million barrels and 3,798 billion cubic feet, respectively.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.613
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6130.413

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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