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Record W1923587564

Expertises en ingénierie et design acoustique

2015· article· fr· W1923587564 on OpenAlexaffvenueabout
Dominique Leclerc, Alexandre Briot

Bibliographic record

VenueCanadian acoustics · 2015
Typearticle
Languagefr
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsArt
DOInot available

Abstract

fetched live from OpenAlex

Stantec est une firme de conception qui compte plus de 15 000 employés oeuvrant dans plus de 250 bureaux répartis principalement en Amérique du Nord. L’entreprise regroupe plus de 35 professionnels travaillant en acoustique au Canada et aux États-Unis, qui partagent régulièrement entre eux leurs expertises et innovations, ce qui lui permet de proposer à sa clientèle des solutions innovatrices et économiquement viables. Depuis plus de 20 ans, Stantec (anciennement Dessau) offre des services en acoustique au Québec.

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)0.005
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.605
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.006
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0420.008

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 head0.031
GPT teacher head0.239
Teacher spread0.207 · 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
GenreOther

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
Published2015
Admission routes3
Has abstractyes

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