Ground Motion Database for Performance Assessment of Structures in Downtown Los Angeles
Bibliographic record
Abstract
This dataverse includes the ground motion database selected and scaled to be representative of downtown LA. These ground motions were originally selected and scaled in the study "Seismic Performance Assessment of Steel EBFs with Conventional and Replaceable Yielding Links Designed with ASCE 7-16" to be published in the ASCE Journal of Structural Engineering. The database includes 40 ground motions with scale factors at the MCE and DBE level hazards. The ground motions are selected and scaled to match the target UHS of ASCE 7-16 over long range of periods within the 0.13s – 5.0s, with limited dispersion. As such, they can be used for performance assessments of different structures with different period ranges. When used please refer to the original publications: 1. Mortazavi, P., Kwon, O., Christopoulos. C (2024). Seismic Performance Assessment of Steel EBFs with Conventional and Replaceable Yielding Links Designed with ASCE 7-16, ASCE Journal of Structural Engineering. DOI: 10.1061/JSENDH/STENG-13093 2. Mortazavi, P. (2023). Large-Scale Experimental Validation and Design of Resilient EBFs with Cast Steel Replaceable Modular Yielding Links, PhD Dissertation, University of Toronto.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".