Approaches for evaluating failure probability of emergency power supply systems in hospitals
Bibliographic record
Abstract
The unpredictable feature of earthquake is one of the major reasons for building damages and casualties occurring in earthquake events. Despite earthquake-induced structural damages to buildings, ground shaking can also impose critical effects on nonstructural components and systems in buildings. This study aimed to develop a probability-based approach for evaluating seismic damages to emergency power supply systems (EPSSs) in Taiwanese hospitals. For this purpose, four case hospitals that were somewhat damaged in the Chi-Chi earthquake (September 21, 1999) were investigated, and the component scoring system developed by the Multidisciplinary Center for Earthquake Engineering Research in the United States was referenced as the basis for developing seismic fragility curves for the components in the EPSSs of the case hospitals. Additionally, the logic tree method was employed to evaluate the failure probability of the EPSSs. The results exhibited acceptable consistency with the recorded damage status of the investigated systems, thereby verifying the feasibility of the proposed approach.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".