Final Report from Task 7 of MEWS Project at the Institute for Research in Construction: long-term performance: predict the moisture management performance of wall systems as a function of climate, material properties, etc. through mathematical modelling
Bibliographic record
Abstract
This document is one of the major outcomes from the consortium project called MEWS (Moisture Management in Exterior Wall Systems), carried out at the Institute for Research in Construction (IRC) of National Research Council (NRC), Canada. This report deals with the parametric analyses of four different types of wall assemblies in a building envelope. The four types of walls considered are (1) Stucco walls, (2) EIFS walls, (3) Masonry walls, and (4) Siding walls. The parametric analysis was done using IRC's hygrothermal modelling tool hygIRC. hygIRC is a 2-dimensional numerical modelling tool specifically developed for research purposes and it is continuously evolving at the IRC/NRC. The utility and reliability of hygIRC outputs have been established through laboratory measurements and benchmarking exercises.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.018 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".