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Record W2010740593 · doi:10.1139/cjce-2011-0406

Détermination de l’hydrogramme de rupture par déversement en crête pour barrages en terre et en enrochement disposant d’un rideau en béton

2013· article· fr· W2010740593 on OpenAlexaffvenueabout
Johan Jantzen, Claude Marché, Tew‐Fik Mahdi

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2013
Typearticle
Languagefr
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Il existe une relation directe entre les caracteristiques de l’inondation qui decoule de la rupture d’un barrage lors de sa submersion et la breche qui se forme au sein de l’ouvrage. Afin d’apprehender le risque de rupture par submersion des barrages en remblai, une approche normative a ete adoptee au Quebec. Cette norme se base sur des ruptures existantes et prevoit, pour les barrages en remblai, la formation, en trente minutes, d’une breche trapezoidale de hauteur H et de largeur au fond 4H. L’utilisation de cette norme ne permet toutefois pas de prendre en compte les caracteristiques propres de chaque barrage et notamment l’utilisation d’un noyau en beton comme element d’etancheite. Seulement, les incertitudes sur la prevision de la breche font que dans l’etat actuel des connaissances, l’utilisation de cette norme reste la solution la plus fiable. Le present article decrit un modele de rupture par submersion du barrage Nemiscau–1, le premier barrage a noyau en beton bitumineux du Quebec. L’etude porte ...

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)0.000
metaresearch head score (Gemma)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.003
GPT teacher head0.193
Teacher spread0.190 · 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

Citations1
Published2013
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicDam Engineering and SafetyFrench-language works237,207