Modeling Post‐Earthquake Functionality of Regional Health Care Facilities
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
This study introduces a methodology for anticipating the post‐earthquake functionality of hospitals in a region. Performance levels for interacting systems (structural, nonstructural, lifeline, and personnel) in a hospital are operationally defined, empirically correlated, and probabilistically modeled using damage data from past earthquakes. Separate models are developed for buildings built before and after the 1973 California Hospital Seismic Safety Act. Performance estimates of the systems are used to anticipate overall hospital functionality. Effects of external power and water outage are also included. As a case study, the methodology is utilized to predict the functionality of hospitals in Los Angeles County for two earthquake scenarios. Findings indicate that in a M6.9 Verdugo fault earthquake scenario, nearly half of county hospitals have at least a 50% chance of experiencing significant loss of functionality. Such findings can support emergency response planning as well as seismic retrofit prioritization.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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