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Record W2520564607 · doi:10.1504/ijstructe.2015.072478

Experimental investigations to evaluate the alkali-carbonate reactivity and alkali-silica reactivity of aggregates

2015· article· en· W2520564607 on OpenAlexaff
Mohammad S. Islam

Bibliographic record

VenueInternational Journal of Structural Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsReactivity (psychology)Alkali metalCarbonateAggregate (composite)ChemistryAlkali–silica reactionMineralogyMaterials scienceOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

The objective of this paper was to evaluate the alkali-silica reactivity (ASR) and alkali-carbonate reactivity (ACR) of the 14 aggregate groups quarried from different locations. In order to serve the stated purpose, the investigated aggregate groups were tested in determining their alkali-silica reactivity using the ASTM C 1260 at the ages of 2, 4, and 8 weeks, and the modified ASTM C 1293 (prisms submerged in the 1N NaOH at 80°C) at the test durations of 4, 8 and 13 weeks. The aggregate prone to the alkali-carbonate reactivity was accessed using the ASTM C 1105 at the ages of 3, 6 and 12 months. The study revealed that the aggregates susceptible to alkali-carbonate reactivity were also shown to be reactive due to the alkali-silica reactivity.

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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.378

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 head0.029
GPT teacher head0.295
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2015
Admission routes1
Has abstractyes

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