MétaCan
Menu
Back to cohort
Record W6987408468

Study of gypsum board material properties required to maintain high indoor relative humidity in buildings in cold climates

2023· other· en· W6987408468 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicOnline Learning Methods and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsRelative humidityGypsumMoistureLimitingHumidityCold climateWater content
DOInot available

Abstract

fetched live from OpenAlex

Studies have shown that building relative humidity (RH) in the range of 40% to 60% has positive effects on health, including limiting growth and transmission for both bacteria and viruses. These levels are easily obtained in moderate to warm climates but are difficult to maintain in cold climates. There lies a need to research possible advancements in building material properties that can maintain RH within the desired range, higher than what is generally accepted in buildings in cold climates.
\n
\nThis report covers the study of gypsum board and the alteration of its material properties in order to achieve the desired range for indoor RH. A 1-dimensional moisture simulation tool, WUFI Pro, is used to analyze a building wall construction with a variety of user-defined gypsum board materials for two cold climate locations: Vancouver, BC and Winnipeg, MB. Material properties that are altered include porosity, specific heat capacity, and the moisture storage function. The simulation results show that changes in porosity and specific heat capacity have insignificant effect on the indoor RH, whereas changes to the moisture storage function do.
\n
\nFor Winnipeg, a test material with an increased water content per RH of 20% resulted in an indoor RH minimum and maximum of 45.8% and 72.9%, respectively, compared to 36.3% and 81.5% for the base case.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.348
Teacher spread0.287 · 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