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Record W4238928575 · doi:10.32920/ryerson.14665311

Durability of concrete exposed to magnesium chloride anti-icing chemicals

2021· preprint· en· W4238928575 on OpenAlexaboutno aff
Sherry Sutherland

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsDurabilityMagnesiumCompressive strengthSalt (chemistry)MortarChlorideScalingMaterials scienceComposite materialChemistryChemical engineeringMetallurgyOrganic chemistryMathematicsEngineering

Abstract

fetched live from OpenAlex

The objective of this study was to determine if/how magnesium chloride (MgCl₂) influences the durability of typical sidewalk concrete being used in Ontario. The effects of MgCl₂ on deicer salt scaling were reviewed with the hypothesis that MgCl₂ at higher concentrations will cause more scaling. When the early results were inconclusive, the focus of this reearch was then moved to determining if initial exposure to NaCl was a contributing factor, and if the mechanism causing deterioration was due to exposure at high temperatures rather than low temperatures. Mortar specimens were examined for the influence of MgCl₂ on expansion and compressive strength. It was found that MgCl₂ had little effect on deicer salt scaling, but caused an increase in expansion and a decrease in compressive strength with increased MgCl₂ concentrations.

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)0.000
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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.261
Teacher spread0.236 · 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
Published2021
Admission routes1
Has abstractyes

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