Blind Predictions of the Seismic Response of a Woodframe House: An International Benchmark Study
Bibliographic record
Abstract
As part of the CUREE‐Caltech Woodframe Project, the international engineering community was invited to blind predict the dynamic characteristics and inelastic seismic response of a two‐story woodframe house that had been extensively tested on a shake table. This research study provided a unique opportunity to assess the state of the art of numerical models in predicting the inelastic dynamic response of woodframe structures. Another objective of this study was to foster cooperation between the CUREE‐Caltech Woodframe Project and other related research activities being conducted worldwide. Five international teams completed the benchmark exercise and provided blind predictions of the nonlinear time‐history response of the shake‐table test structure under varying levels of seismic input as well as its pushover response. The participating teams adopted a wide range of numerical models and solution strategies. This paper provides a summary of the activities conducted under the CUREE‐Caltech Woodframe Project International Benchmark Study.
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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".