MétaCan
Menu
← Back to cohort
Record W7025386044

Volume stability of hydrated Portland cement phases exposed to aggressive solutions

2002· article· en· W7025386044 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicBlack Holes and Theoretical Physics
Canadian institutionsnot available
Fundersnot available
KeywordsEttringiteGypsumSulfateDurabilityPortland cementVolume (thermodynamics)Sodium sulfateAnhydrous
DOInot available

Abstract

fetched live from OpenAlex

The durability of concrete and its constituent phases continue to receive significant international attention. Concrete exposed to aggressive environments such as aqueous chloride or sulfate solutions often sustains damage as a result of excessive volume change. Phenomena associated with the deterioration process generally described by the term sulfate attack have received much recent attention in North America due to litigation. Skalny and Pierce reviewed and discussed the sulfate attack issue with respect to the physico-chemical phenomena involved in both laboratory and field observation. Sulfate attack issues discussed included the correctness of disassociating the purely physical (e,g. alkali-sulfate salt crystallizing in pores) and chemical processes involving decomposition of the cement paste by the penetrating sulfate solution. These processes (physico~chemical in nature) are often ascribed to phenomena that include crystal growth and pressure generation and colloidal swelling. Reaction products such as ettringite and gypsum have been considered to be central to the mechanisms involved. Large volume changes can also result from hydration of anhydrous alkali salts as the specific volume of the hydrated salt is significantly greater. These are considered by many to be non-classical.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.027
GPT teacher head0.234
Teacher spread0.207 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueNPARC→Same topicBlack Holes and Theoretical Physics→French-language works237,207→