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Record W7019905744

The influence of geotechnical settings on Canadian pipeline failure rate

2022· other· ru· W7019905744 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Repository Saint Petersburg State University (Saint Petersburg State University) · 2022
Typeother
Languageru
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPipeline (software)Pipeline transportTrenchless technologyFoundation (evidence)
DOInot available

Abstract

fetched live from OpenAlex

Исследовательская работа посвящена геолого-геоморфологическим характеристикам, как главным компонентам инженерно-геологических условий. Цель работы – выявить влияние инженерно-геологических условий на аварийность трубопроводов Канады. Среди анализируемых геолого-геоморфологических характеристик: абсолютная высота, относительная высота, горизонтальная кривизна, вертикальная кривизна, уклон, экспозиция, близость к структурной линии, приуроченность к элементарной земной поверхности, генетический тип четвертичных отложений. Среди всех аварий за период с 2008 по 2019 год, зарегистрированных в Канаде, для анализа выбраны 265 инцидентов, вызванных двумя группами факторов: природным и коррозией. Данные о геолого-геоморфологических характеристиках получены по топографическим картам и картам четвертичных отложений Канады при помощи программного обеспечения QGIS. В результате исследования выявлены максимальные значения удельной аварийности для каждого анализируемого параметра.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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