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Supplementary material: CLT Walls: Assessing the Role of Vapour Barriers and Adaptive Membranes for Enhanced Building Durability

2024· dataset· en· W6929955444 on OpenAlexaboutno aff

Bibliographic record

VenueAalborg University Library · 2024
Typedataset
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
Fundersnot available
KeywordsMoistureDurabilitySet (abstract data type)Saturation (graph theory)Data setUpload

Abstract

fetched live from OpenAlex

Supplementary material for the conference paper "CLT Walls: Assessing the Role of Vapour Barriers and Adaptive Membranes for Enhanced Building Durability" submitted to the International Building Physics Conference IBPC 2024, 25-27 Juni, Toronto, Canada. The supplementary material contains the following: - Drawings of CLT wall models - WUFI Pro model report (describing the model build up and chosen settings) - WUFI Pro simulation results (in Excel format), presented for two sets of models: (1) with initial moisture set to default 80% RH, and (2) with initial moisture at saturation in the outermost 30 mm of the CLT element and remaining parts set to default RH. - VTT mould growth results (in Excel format). - The Danish climate data for Sjælsmark, used for the simulations. (Data for Kiruna, Bergen and Jyväskylä were obtained from the WUFI climate files database and cannot be uploaded as part of this dataset)

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.269
Threshold uncertainty score0.900

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 communication0.0000.001
Open science0.0010.001
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2024
Admission routes1
Has abstractyes

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