Geometric Constraints for the Detection of Perfect Conductors
Why this work is in the frame
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Bibliographic record
Abstract
SummaryThe aim of this study was to investigate potential for the fixed wing Spectrem AEM system to detect perfect conductors. The methodology extends previous results in successful detection of perfect conductors in the twin helicopter Gemini AEM experiment. Primary fields in the square-wave Spectrem response are conventionally estimated by using the latest time samples in each halfcycle. Measured Spectrem aircraft attitude, coupled with physical constraints using tow-cable geometry and drag, were collectively used to devise a new primary field prediction for high altitude data. The new prediction method was then applied to survey data to produce a secondary field. Time constants predicted from the new secondary field estimation were sensitive to values 10 times greater than time constants using conventional late-time reference approach.
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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 | 0.000 | 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 it