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Record W4404568295 · doi:10.1080/14680629.2024.2429643

Applicability of the light-weight deflectometer (LWD) to assess the quality of cement-bitumen-treated materials (CBTM) in the Canadian context

2024· article· en· W4404568295 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

VenueRoad Materials and Pavement Design · 2024
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsÉcole de Technologie Supérieure
FundersMitacs
KeywordsStiffeningAsphaltOverlayContext (archaeology)Asphalt concreteCivil engineeringGeotechnical engineeringEnvironmental scienceRide qualityEngineeringCementForensic engineeringMaterials scienceGeologyStructural engineeringComputer scienceComposite material

Abstract

fetched live from OpenAlex

Cement-bitumen treated materials (CBTM) are obtained following full-depth reclamation, and are considered one of the best solutions for pavement rehabilitation from a technical, economic and environmental point of view. Due to the addition of binders and water, CBTM requires time to achieve sufficient strength before reopening to traffic and overlaying with hot mix asphalt. In addition, quality control (QC) is very important to achieve a durable pavement structure. Many agencies in Canada do not have QC specifications or requirements, which limits the use of CBTM. In this paper, the suitability of using the Light-Weight Deflectometer (LWD) for QC purposes in the Canadian context was investigated. Overall, LWD test results showed good reliability for evaluating the stiffening rate of CBTM over time in the Canadian context. Results highlighted that stiffening rate became significant from 4 hours after construction and that traditional laboratory/field measurements were highly variable from one site to another.

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)0.004
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 head0.079
GPT teacher head0.310
Teacher spread0.231 · 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