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Record W4392896773 · doi:10.1061/9780784485279.056

Systematic Review of Material Selection for Building Envelopes Based on Multi-Criterion Decision-Making

2024· article· en· W4392896773 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

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSelection (genetic algorithm)Computer scienceManagement scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This study conducts a systematic literature review to evaluate existent studies on the use of multi-criterion decision-making (MCDM) methods for selecting building envelope materials and identifies the various criteria and weight distribution techniques employed in this process. The results and discussion section focuses on the environmental impact, cost, technical performance, and social impact criteria, as they were identified as the predominant criteria among the reviewed studies. The results demonstrate that environmental impact and cost criteria consistently carry higher weights in MCDM studies in comparison to the social impact criteria. It is also found that, while numerous MCDM methods have been employed in the building envelope material selection process, the use of a hybrid MCDM approach is found to be the most recommended course. Overall, the findings of this study assist construction specialists in understanding the current practices and limitations in material selection processes for building envelopes and provide insights for future research in this area.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0050.000

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 head0.039
GPT teacher head0.400
Teacher spread0.361 · 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

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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