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Record W3111754223

Vacuum insulation panels : study on VIP-components and panels for service life prediction of VIP in buildings applications (subtask A)

2005· article· en· W3111754223 on OpenAlexaboutno aff
H. Simmler, Samuel Brunner, Ulrich Heinemann, Hubert Schwab, K. Kumaran, Phalguni Mukhopadhyaya, D. Quénard, Hébert Sallee, K Noller, E Kuecuekpinar-Niarchos, C Stramm, Martin Tenpierik, Hans Cauberg, M Erb

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicAerogels and thermal insulation
Canadian institutionsnot available
Fundersnot available
KeywordsVacuum insulated panelArchitectural engineeringEngineeringService (business)Service lifeQuality assuranceEnvelope (radar)Forensic engineeringThermal insulationBuilding envelopeCore (optical fiber)Civil engineeringMechanical engineeringOperations managementTelecommunicationsBusinessMaterials scienceThermalPhysicsMeteorology
DOInot available

Abstract

fetched live from OpenAlex

This comprehensive paper takes a look at the properties of vacuum insulation panels (VIP) and was presented as a contribution to the IEA's ECBCS (Energy Conservation in Buildings and Community Systems) Annex 39. The various institutions in Switzerland, Germany, Canada, France, Sweden and the Netherlands participating in the task and their activities are listed. The paper describes the concept of vacuum insulation for buildings and examines the physics involved and core materials that can be used. The physical, mechanical and thermal properties of the core materials are examined and the requirements placed on the envelope of the panels are looked at. Tests made on materials as well as on the complete vacuum insulation panels are described in detail. The results obtained are presented and reviewed. Service-life and quality assurance aspects are also discussed. A comprehensive appendix completes the report.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.047
GPT teacher head0.275
Teacher spread0.228 · 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 designObservational
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

Citations55
Published2005
Admission routes1
Has abstractyes

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