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Record W3173545252 · doi:10.7480/cgc.5.2247

Merging Two Façade Types into a New Product: Glass Sandwich Panel

2018· article· en· W3173545252 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

VenueTU Delft Library (Tu Delft) · 2018
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsSKiN Health
Fundersnot available
KeywordsSandwich-structured compositeSandwich panelLaminated glassFacadeMaterials scienceEngineeringComposite materialStructural engineeringComposite numberLayer (electronics)

Abstract

fetched live from OpenAlex

Developed by seele for industrial and commercial buildings, iconic skin glass sandwich panel (GSP) is a novel glass panel façade that meets high-level design and economic demands. The idea is to merge two established façade products into a new one: The glass sandwich panel consists of an outer printed glass sheet bonded to a standard sandwich panel. This creates a glass exterior in the form of panels up to a height of 15 m. These huge formats allow architects to employ glass sandwich panels to create homogeneous and flush façade surfaces in glass. This paper discusses the structural testing and numerical verification of the glass sandwich panel with a main focus on the silicone bonding between glass and sandwich. Furthermore, an outlook is given how to integrate window and door elements flush with the façade surface.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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