Partition-Level Air Leakage Rates in Newly Constructed Multi-Unit Residential Buildings (14 suites)
Bibliographic record
Abstract
Partition-level air leakage measurements for 14 suites in multi-unit residential buildings located in Southern Ontario, Canada. All test buildings were constructed and/or renovated between 2019 and 2022. Air leakage rates were determined using a guarded blower door test method, to isolate air leakage rates by partition type (floor/ceiling, building envelope, suite-to-corridor wall, suite-to-suite wall). Test data have been provided in .xlsx and .csv formats. v3 files include more detail on partition assembly types and list the number of penetrations for each interior wall assembly. Refer to the following publication for more information: Lozinsky CH, Touchie MF, Quantifying suite-level airtightness in newly constructed multi-unit residential buildings using guarded suite-level air leakage testing, Building and Environment (2023), doi: https://doi.org/10.1016/j.buildenv.2023.110273.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.013 |
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".