Baseline Correction of Ground Motions for Linearly Detrended Accelerograms
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
ABSTRACT By revisiting the accelerograms from 42 strong-motion stations in Hualien County that recorded the 2018 Mw 6.4 Hualien earthquake, we identified that the released “raw accelerograms” were linearly detrended to remove baselines. Baseline correction for these linearly detrended accelerograms is challenging, because the baseline drift patterns are more complex than typically recognized ones. To deal with this problem, here we propose a jerk correction pattern in addition to our previously proposed tilt correction pattern and cumulative correction pattern. The modified baseline correction procedure corrects all 126 accelerograms for three directions of the 42 strong-motion stations. The recovered ground displacements are consistent with geodetic measurements, demonstrating complex surface deformations in the close vicinity of the Milun fault.
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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 it