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Record W4381189509 · doi:10.32920/23542020

Development of a Sulfide-Bearing Aggregate Oxidation Test in Concrete

2023· preprint· en· W4381189509 on OpenAlexaff
Marzia Fada

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMortarAggregate (composite)SulfateSulfideRelative humidityBearing (navigation)Bar (unit)Materials scienceGeotechnical engineeringComposite materialMetallurgyEngineeringGeologyComputer science

Abstract

fetched live from OpenAlex

The development of a sulfide bearing oxidation test in concrete was investigated. Condition conducive to oxidation of sulfides minerals in mortar bars were adopted in concrete testing and failed to produce sulfate attack and expansion in concrete samples. Reason behind failure in provoking sulfate attack and expansion in concrete samples were proposed together with possible parameters to be considered for further concrete testing. Preliminary new exposure condition for concrete samples are also proposed, pending in depth investigation of mass loss/gain during soaking and storage time. Investigation of relative humidity and temperature changes in mortar bar testing exposure condition were also investigated to obtain the best possible combination of parameters to be applied in further concrete testing investigations.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.038
GPT teacher head0.253
Teacher spread0.215 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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