Development And Case Study Of A Risk Assessment Model Curisk For Building Fires
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A fire risk computer model CUrisk is being developed at Carleton University to evaluate fire safety designs for four-story, timber-frame commercial buildings. The model consists of the system model and a number of subsidiary submodels. The system model implements the risk analysis framework and controls data flow of the submodels; it is also responsible for calculating the life hazard of each scenario. Other submodels include Fire Growth and Smoke Movement, Boundary Failure and Fire Spread, Occupant Response and Evacuation, and Building Cost and Economic Loss. Using the outputs of the submodels, the system model calculates three decision-making parameters, the Expected Risk to Life, the Expected Risk of Injury, and the Fire Cost Expectation. These parameters are based on possible fire scenarios and their associated probabilities. This paper provides a brief description of CUrisk, and presents the results of a multi-scenario risk analysis for a four story commercial building.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it