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Record W1775850920 · doi:10.1520/stp11032s

The Effect of Acid Rain on Magnesium Hydroxide Contained in Cement-Lime Mortar

2002· book-chapter· en· W1775850920 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.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicMagnesium Oxide Properties and Applications
Canadian institutionsGraymont (Canada)
Fundersnot available
KeywordsSulfuric acidDistilled waterLimeMortarMagnesiumChemistryLeachateCementNuclear chemistryInorganic chemistryMaterials scienceMetallurgyChromatographyEnvironmental chemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The effect of acid rain on mortar durability is not well understood. In particular, little work has been done on the reaction of magnesium hydroxide in dolomitic Type S hydrated lime with sulfuric acid compounds. In this study, this reaction is investigated using two different exposure situations, each involving distilled water and sulfuric acid (4.5 pH) as leachants. In the first situation, the leachability of the Type S hydrated lime is examined through packed-bed column testing. In the second situation, hardened mortar samples were placed in both distilled water and sulfuric acid (4.5 pH) solution for one week. Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP) was used to determine the magnesium content of the raw materials, hardened mortars and leachate. Magnesium levels of the leachate samples were consistently low and did not appear to be affected significantly by the presence of sulfuric acid.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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