Comments on: “Imaging the Aquistore reservoir after 36 kilotonnes of CO2 injection using distributed acoustic sensing” (K. Harris, D. J. White, and C. Samson, 2017, G <scp>eophysics</scp> , 82, no. 6, M81–M96) and “Initial 4D seismic results after CO2 injection start-up at the Aquistore storage site” (L. A. N. Roach, D. J. White, B. Roberts, and D. Angus, 2017, G <scp>eophysics</scp> , 82, no. 3, B95–B107)
Bibliographic record
Abstract
ABSTRACT Two papers published in Geophysics use the normalized root-mean-square (Nrms) calculation in a sliding window to compare traces and to create a “difference Nrms′” volume. The authors use the derived difference volume to indicate the presence of apparent time-lapse anomaly between two seismic surveys. In this discussion, we point out that the used methodology does not allow a robust comparison of seismic traces. We recommend the use of simple amplitude difference calculation between volumes to show the presence of time-lapse anomalies, instead of the used methodology.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".