Supplementary material: CLT Walls: Assessing the Role of Vapour Barriers and Adaptive Membranes for Enhanced Building Durability
Bibliographic record
Abstract
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 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.133 | 0.095 |
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".