Reply to “Comment on ‘EM induction in elongated conductors normal to a coastline with application to geomagnetic measurements in Nigeria’ by J. Chen, H. W. Dosso, and S. Kang”
Bibliographic record
Abstract
Chen (hereafter PFC) has questioned two main differences between the CDK analogue model and his FDM numerical results: 1) The CDK analogue model in-phase V y fall off rapidly with increasing period, whereas his numerical H z /H y do not; 2) The CDK quadrature V y do not show a reversal, whereas his H z /H y do.Upon examining the curves in Fig. 4 carefully, it can be concluded that the CDK quadrature V y do, in fact, also indicate a reversal.It can clearly be seen from the shape of the CDK curves (dashed line), that with decreasing period each response curve is approaching a reversal, though at a period some what below 1 min, being the lowest period included in the analogue model measurements.The CDK in-phase response curves as well, are each approaching a maximum at periods well below 1 min, and should each reach a maximum at roughly the same period as the corresponding quadrature reversal, being characteristic of the specific location (y) between the conductors.These shifts to longer periods with distance indicated in the CDK results, are similar to those in the PFC (solid line) results which for sites at increasing distances from the major conductor (b), show shifts to longer periods to be roughly T c = 2, 3, and 8 min at y = -45, -40, and -30 km respectively.With respect to the more rapid fall-off in-phase response with increasing period, as well as the quadrature reversals at lower periods in the CDK 3D results as compared with the PFC results, these are precisely the characteristics that distinguish 3D from 2D responses.The CDK model for the 1-60 min period range is certainly 3D for all but the shortest periods, since for the near-end (x = 30 km) traverse the conductor length is definitely too small to satisfy the criteron for a 2D conductor in terms of host conductivity skin depths.Thus, the PFC roughly constant in-phase H z /H y over the 1-60 min range appear to show a 2D rather than what should be a 3D response.Unfortunately, PFC does not include any explanation regarding the numerical grid design, the boundary conditions, or the convergence criteria used in his finite difference numerical model for the high conductivity contrast (∼5000), and the large (1-60 min) period range for which the highly resistive host skin depth changes by nearly a factor of 8.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.039 | 0.033 |
| Insufficient payload (model declined to judge) | 0.007 | 0.009 |
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".