Bibliographic record
Abstract
The effect of mass loading is an important phenomenon for the calibration of back-to-back accelerometers. When a transfer standard back-to-back accelerometer that has been calibrated for a given mass load is used to calibrate an accelerometer whose mass is different, an error is introduced. For this reason, accelerometer manufactures may supply correction curves for the mass loading effect or specify a maximum sensitivity change due to mass loads. These data, however, often have limited applicability. In this paper, the effect of mass loading on the shock sensitivity of some transfer standard accelerometers is presented. The shock-shaped excitation varied in amplitude from 5000 m/s2 to 10000 m/s2, for different mass loads from 37 g to 200 g. It has been found that the shock sensitivity of the accelerometers investigated decreases linearly as the load mass increases at a rate of about 0.007 %/g. This rate of decrease in shock sensitivity is almost constant for different shock accelerations.
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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".