MétaCan
Menu
Back to cohort
Record W2905321506 · doi:10.1680/jmacr.18.00271

Evaluation of the fresh and hardened state properties of low cement content systems

2018· article· en· W2905321506 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

VenueMagazine of Concrete Research · 2018
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCementPortland cementCarbon footprintMaterials scienceClinker (cement)RheologyDurabilityCompressive strengthWater contentPorosityComposite materialYoung's modulusEnvironmental scienceWaste managementGeotechnical engineeringGreenhouse gasEngineeringGeology

Abstract

fetched live from OpenAlex

The production of Portland cement (PC) clinker is responsible for about 6·5% of total carbon dioxide (CO 2 ) emissions worldwide. Therefore, recent studies have focused on alternatives to decrease PC content and thus reduce the carbon footprint of concrete construction. Although guidelines suggest a minimum cement content of approximately 250–300 kg/m 3 depending on the type of the structure or structural member, there is currently a lack of information on the impact of the amount of cement on the overall behaviour of concrete. This work evaluates the influence of PC (ASTM C150 Type III) content on the fresh (i.e. rheological behaviour) and hardened (i.e. compressive strength, dynamic and static modulus of elasticity, porosity and permeability) properties of concrete mixtures produced with low to moderate (54, 159 and 260 kg/m 3 ) PC amounts. Results show that it is possible to produce eco-efficient concrete without compromising the fresh and hardened states of the material. However, the durability and long-term properties of low cement content systems should be further appraised.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.036
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.148
GPT teacher head0.321
Teacher spread0.173 · 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