A multiple transmitter/receiver system: the advantage of summing responses from multiple transmitters
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
Many ground electromagnetic (EM) systems have been deployed in the Sudbury basin and under ideal conditions these systems are capable of detecting large conductors to depths of approximately 800m; however, more common detection limits are in the order of a couple of hundred meters (<400m). Although these systems have had great success in Sudbury, they may experience two weaknesses for deeper conductors: poor coupling and small signal-to-noise ratios, decreasing the quality and interpretability of the data. A time-domain electromagnetic survey was conducted over a known conductor to test a new methodology, which could potentially see deeper targets. The coupling weakness was addressed through multiple transmitter locations and the signal-to-noise ratio was increased above the noise threshold by spatial stacking of receiver measurements (from the various transmitter-receiver combinations).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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