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Record W2562997004 · doi:10.1520/acem20160034

Evaluation of Modifications to the ASTM C672 Deicer Salt Scaling Test for Concrete Containing Slag Cement

2016· article· en· W2562997004 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAdvances in Civil Engineering Materials · 2016
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceCementSlag (welding)Curing (chemistry)Fly ashMetallurgyScalingDurabilityComposite materialMathematics

Abstract

fetched live from OpenAlex

Abstract The standard ASTM C672/C672M-12 deicer salt scaling resistance test has been found to be overly aggressive to concretes containing slag cement or fly ash. It was compared to the recently adopted CSA A23.2-22A test method, based on the Quebec BNQ test, as well as several modifications, including use of an accelerated curing regime developed by Virginia (VADOT). Sixteen concrete mixtures were studied using high-alkali cement, low-alkali cement, grade 100 slag and grade 120 slag with slag contents of 0, 20, 35, and 50 %. Vinsol resin air-entraining admixture (AEA) was compared to a synthetic AEA. Modifications to the test method used in this study resulted in improved deicer scaling performance of concretes containing slag and many of these modifications have been incorporated into the CSA A23.2-22A test method. While it was found that increasing the level of slag replacement resulted in increased scaling, it was found that for slag mixtures, the synthetic AEA provided an improved air void spacing factor, higher hardened air content, and improved scaling resistance compared to Vinsol resin AEA.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.068
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.032
GPT teacher head0.306
Teacher spread0.274 · 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