Key Findings from the Nonlinear Base-Isolated Benchmark
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
Two phases of the benchmark problem on base-isolated buildings concluded recently, culminating in two separate special issues in the Journal of Structural Control and Health Monitoring. The base-isolated building considered in the benchmark problem is based on the USC hospital building in Southern California. The goal of this benchmark is to provide a common computational test-bed to analyze competing control strategies on base-isolated buildings, including devices, algorithms and sensors. To achieve this goal, a 3-D finite-element model was developed in MATLAB to represent the complex behavior of the full-scale base-isolated building with lateral-torsional behavior. The model allows users to model both linear and nonlinear isolation systems. A nonlinear structural analysis tool was developed in MatlabTM and distributed to the participants for nonlinear dynamic analysis. Over twenty papers in two special issues in the Journal of Structural Control and Health Monitoring were published as a result of this effort. This paper presents an overview of this benchmark effort.
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.
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 | 0.001 | 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