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Record W2082018295 · doi:10.1117/12.435596

<title>Structural health monitoring of innovative bridge decks</title>

2001· article· en· W2082018295 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsDalhousie UniversityUniversity of CalgaryUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsSlabDeckCrackingBridge deckStructural engineeringBridge (graph theory)Materials scienceDelamination (geology)Geotechnical engineeringForensic engineeringEngineeringGeologyComposite materialSeismology

Abstract

fetched live from OpenAlex

The concept of steel-free deck slab is discussed along with six field applications in Canada. In particular, the phenomenon of cracking in deck slabs is discussed with reference to laboratory studies as well as field observations, both of which have shown that, notwithstanding the presence of cracks, the fatigue resistance of the steel- free deck slab is very high. The provision of a layer of nominal tensile reinforcement within the thickness of the steel-free deck slab, however, eliminates the unaesthetic wide cracks. Laboratory studies, currently underway, have shown that the technique of acoustic attenuation is very effective in tracking the growth of cracks in concrete deck slabs. The conventional sensors were not successful in this respect.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.588

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)0.0000.000

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 head0.018
GPT teacher head0.272
Teacher spread0.253 · 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