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Record W4322207707 · doi:10.2172/1958380

Extending the Air and Moisture Leakage Calculator to add Residential Buildings and Additional Commercial Buildings

2023· report· en· W4322207707 on OpenAlexfundaboutno aff
Niraj Kunwar, Som Shrestha, Gina Accawi, André Omer Desjarlais

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsnot available
FundersOak Ridge National LaboratoryNational Institute of Standards and TechnologyCanada Excellence Research Chairs, Government of CanadaU.S. Department of Energy
KeywordsCalculatorOak Ridge National LaboratoryBuilding envelopeMoistureLeakage (economics)Architectural engineeringAirflowEngineeringEfficient energy useCivil engineeringIndoor air qualityComputer scienceEnvironmental scienceMechanical engineeringMeteorologyEnvironmental engineeringElectrical engineeringOperating system

Abstract

fetched live from OpenAlex

This report was prepared as an account of

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes2
Has abstractyes

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Same topicHygrothermal properties of building materialsFrench-language works237,207