MétaCan
Menu
Back to cohort
Record W2410660102 · doi:10.1520/stp158520140107

EIFS Mesh Coating Improvements

2016· book-chapter· en· W2410660102 on OpenAlexaff
Mark Newton, Eric A. Smith

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicSurface Roughness and Optical Measurements
Canadian institutionsSaint-Gobain (Canada)
Fundersnot available
KeywordsCoatingMaterials scienceComputer scienceComposite material

Abstract

fetched live from OpenAlex

Woven glass fabric mesh is one of the critical components that make up exterior insulation finishing system (EIFS) assemblies. The mesh has many performance and use requirements. One of the aspects of the mesh that allows these requirements to be met is the coating applied to the mesh. Water-based polymer coatings can be developed that balance the wide variety of EIFS performance requirements, including environmental stability, shelf stability, processability, fire resistance, antiblocking, cuttability, and conformability. These parameters are all critical to the function, quality, and longevity of the EIFS assembly. Because EIFS are tested and listed in accordance with model building code evaluation services with approved components, the use of non-tested and non-approved components can lead to quality issues and loss of warranty coverage. These sorts of issues ultimately can hurt the perception of EIFS in the exterior cladding marketplace. The importance of EIFS manufacturers knowing where all the components of their system come from is obvious for these reasons.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0030.001

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 head0.022
GPT teacher head0.210
Teacher spread0.188 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicSurface Roughness and Optical MeasurementsFrench-language works237,207