MétaCan
Menu
Back to cohort

To the Issue of Increasing the Efficiency of Operation of Energy Transmission Systems

2016· article· en· W3150279888 on OpenAlexaboutno aff
Irine Berdzenishvili, Manana Siradze

Bibliographic record

VenueJournal of Energy and Power Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicIndustrial Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy (signal processing)Transmission (telecommunications)Reliability engineeringTransmission systemComputer scienceEnvironmental scienceEngineeringTelecommunicationsMathematicsStatistics

Abstract

fetched live from OpenAlex

This paper presents an overview of the safety performance of the major existing pipeline transmission system in Canada, USA and Europe. The article deals the experience of Georgia in the development of pipeline transport. The information on the distribution of catastrophic failures and incidents per individual cause is given. The role of corrosion in these failures is considered. To ensure efficient and reliable operations of oil and gas pipelines, the new compositions of competitive cost effective protective pipe enamel coatings have been developed.

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)0.006
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0060.007
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0250.006

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 head0.005
GPT teacher head0.178
Teacher spread0.173 · 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 designSimulation or modeling
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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Energy and Power EngineeringSame topicIndustrial Engineering and TechnologiesFrench-language works237,207