New seismic risk screening tool for existing buildings in Canada
Bibliographic record
Abstract
This paper summarizes a new seismic risk screening tool for existing buildings in Canada. The tool consists of methodologies for seismic risk screening of structural and non-structural components of existing buildings. The tool aims to identify and prioritize existing buildings with potential unacceptable seismic risk for further seismic evaluation. The seismic risk of the structure is based on the probability of building collapse and identified consequences of failure to life safety. The global seismic risk of nonstructural components is qualitatively assessed based on seismic demand of the most critical non-structural components and identified consequence of failure to life safety. Calculated structural and non-structural scores are compared with corresponding structural and non-structural components thresholds, which are function of consequences of building failure. In general, the scoring systems reflect the expected seismic risk for different seismic zones. An example of seismic screening of a concrete shear wall building in Montreal and Vancouver illustrates the use of the seismic risk screening tool.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".