A Pathfinder-Based Safe Evacuation Model for Ultradeep Underground Public Space
Bibliographic record
Abstract
In recent years, many cities have stepped up the development and use of underground public space. However, the development of underground space is constrained by safe evacuation. It is urgent to design a suitable safe evacuation model for ultradeep underground public space (UUPS). From the perspective of building design, this paper creates a novel safe evacuation model that integrates sunken shelter with a self-designed safe evacuation system (SES), and compares its effect with that of other models. Then, the application of our model in Hongtudi Station, Line 10 of Chongqing Rail Transit (CRT) was simulated on Pathfinder. The results show that the safe evacuation model, which couples sunken shelter with the SES, is feasible to evacuate personnel from the UUPS. The research sheds new light on the safe evacuation technique from the UUPS.
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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 | 0.000 | 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 | 0.000 |
| 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".