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Record W2374588349

URGENCY OF ESTABLISHING NATURAL GAS QUALITY STANDARDS IN CHINA

2005· article· en· W2374588349 on OpenAlexaff
Moe Key

Bibliographic record

VenueTianranqi gongye · 2005
Typearticle
Languageen
FieldEnergy
TopicOil, Gas, and Environmental Issues
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsNatural gasNatural gas fieldInterchangeabilityNatural gas industryPipeline transportQuality (philosophy)Renewable natural gasEngineeringPlan (archaeology)Fuel gasPipeline (software)ChinaTechnical standardPetroleum engineeringWaste managementComputer scienceMechanical engineeringChemistryGeology
DOInot available

Abstract

fetched live from OpenAlex

With adjustment of energy strategy structure, the natural gas industry develops rapidly in China. The article introduces the current natural gas quality standards and relative codes at home and abroad. Integrating the characteristics of Chinese natural gas market, the great significance and urgency of establishing unified natural gas quality standards in China are explained from the following aspects: the interchangeability of natural gas and existing urban gas; the design of gas delivering system for LNG projects; the plan and design to connect the gas gathering facilities and pipelines of domestic big or small size gas fields and associated gas fields with the national trunk pipelines; the plan, design and operation of systems and devices for major gas users; the requirements for optimized utilization of natural gas resource, etc.

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)0.010
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.274
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2005
Admission routes1
Has abstractyes

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