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Record W4286681550 · doi:10.53810/jt.v22i2.427

STUDI KETAHANAN BETON GEOPOLIMER BERBASIS FLY ASH TERHADAP ASAM SULFAT

2022· article· id· W4286681550 on OpenAlexaff
Remigildus Cornelis, IWAN RUSTENDI

Bibliographic record

VenueTeodolita Media Komunkasi Ilmiah di Bidang teknik · 2022
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFly ashMaterials scienceChemistryComposite material

Abstract

fetched live from OpenAlex

Abstrak
 Paper ini mengkaji durabilitas beton geopolimer berbasis fly ash. Durabilitas beton geopolimer yang dikaji adalah yang berkaitan dengan ketahanan terhadap lingkungan yang bersifat asam dan lingkungan yang sulfat. Hal ini karena sebagian struktur beton berada pada lingkungan tersebut. Dengan mengetahui perilaku material tersebut, maka dapat diperoleh desain yang lebih aman dan ekonomis. Dari hasil penelitian terungkap bahwa beton geopolimer memiliki kinerja yang lebih baik dibanding beton OPC dan mampu bertahan dalam lingkungan yang lebih agresif.
 Kata kunci: Durabilitas, Mortar, Beton, Geopolymer, Fly-Ash.

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.216
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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