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Record W2151858719 · doi:10.1520/stp37753s

Chapter 35: Alkali-Carbonate Rock Reaction

2006· book-chapter· en· W2151858719 on OpenAlexaboutno aff
MA Ozol

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCarbonateAlkali metalGeologyGeochemistryMineralogyChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

THE SUBJECT OF ALKALI-CARBONATE ROCK REACtivity (ACR) was discussed for the first time as a distinct and separate chapter-length topic in ASTM STP 169B by H. N. Walker [1]. Prior to that, W. C. Hansen, in ASTM STP 169A in 1966 [2], discussed the reactivity of dolomitic limestones, along with the reactivity of other rocks and minerals, under the general heading of chemical reactions. Previous editions of Significance of Tests and Properties of Concrete and Concrete-Making Materials (ASTM STP 169, 1956) and its predecessors ASTM STP 22A, in 1943, and ASTM STP 22, in 1935, did not treat the subject of deleterious carbonate rock reactions because such reactions were not recognized as a distinct problem until identified as such by Swenson in 1957 [3], based on his investigations of expanded, cracked, and buckled concrete in the vicinity of Kingston, Ontario, Canada.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0990.035

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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2006
Admission routes1
Has abstractyes

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