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Record W4402651421 · doi:10.1051/e3sconf/202456919002

Root cause failure assessment of a water retention reservoir at a mining industry Site

2024· article· en· W4402651421 on OpenAlexaff
Dean Wall, Rowe R. Kerry

Bibliographic record

VenueE3S Web of Conferences · 2024
Typearticle
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsQueen's UniversityPacific Insight Electronics (Canada)
Fundersnot available
KeywordsRoot cause analysisRoot causeMining industryEnvironmental scienceForensic engineeringMining engineeringEngineeringReliability engineering

Abstract

fetched live from OpenAlex

This paper reports on an investigation into the failure of a double HDPE geomembrane lined retention reservoir constructed in 2018 that failed in 2021, only 3 years after construction. Several technical and non-technical factors contributed to the failure, and these are examined systematically. The primary failure occurred at the outlet pipe penetration, where the design detail had been modified due to constructability issues. Several administrative failures were also identified during the investigation, the most significant of which was the absence of a comprehensive construction report with a concluding statement from the engineer of record verifying the structure was constructed in accordance with the design and specifications and is fit for purpose. The failure highlights the need to better integrate design and construction teams and to keep impeccable records of all technical decisions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.271
Teacher spread0.236 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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