Level 1: Preliminary Seismic Risk Screening Tool (PST) for existing wood light frame buildings under part 9 of the NBC. Part 1: user’s guide
Bibliographic record
Abstract
The Level 1 – Preliminary Seismic Risk Screening Tool (PST) for existing wood light frame buildings under Part 9 of the NBC (WLF-P9) aims to quickly identify and exempt existing WLF-P9 buildings with acceptable seismic risks from further seismic risk assessment. The methodology in Level 1 – PST (WLF-P9) is based on Level 1 – PST originally developed for existing Part 4 buildings. Level 1 – PST (WLF-P9) is designed to be completed by trained screeners using Level 1 – PST (WLF-P9) screening forms. A site visit is not required as the building information for completing the form can be collected in office. Major changes made to the original Level 1 – PST for existing Part 4 buildings are summarized as follows: 1. The benchmark NBC edition for existing WLF-P9 buildings have been identified by tracking the evolution of design provisions in Part 9 of the NBC. 2. Consequences of failure have been determined for existing WLF-P9 buildings. 3. The seismic risk acceptance criteria have been updated to suit the characteristics and seismic behaviour of existing WLF-P9 buildings. 4. The Level 1 – PST screening form has been modified to reflect the changes.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.262 | 0.179 |
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".