A Comparison of Trenched Distributed Acoustic Sensing (DAS) to Trenched and Surface 3C Geophones - Daly, Manitoba, Canada
Bibliographic record
Abstract
Summary In the fall of 2012 we conducted a field test of a trenched fibre optic Distributed Acoustic Sensing (DAS) system to trenched and surface 3C geophones in the Daly area of southwestern Manitoba, Canada. The test was designed to provide a comparison of the acoustic wavefield as measured by the trenched fibre, the trenched 3C geophones and surface 3C geophones. The geophone data is of exceptional quality as is normal for this area. The fibre (DAS) data show clear reflection, refraction and coherent noise signal but at a lower signal-to-noise ratio than the geophone data. It was also noted that for our acquisition geometry, it was difficult to separate the different modes based on particle motion and so we had to rely on PP and PS velocities for this. Furthermore, we were not able to separate the radial and transverse PS modes on the fibre data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".