Remote resistivity contrast mapping using the CARIS system at Terme de Caracalla archaeological site, Rome, Italy
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
ABSTRACT We achieve remote resistivity‐contrast mapping through use of capacitive electric field sensors and an inductive electromagnetic source. A new instrument, called CARIS, was developed at RMIT University specifically for shallow archaeological, environmental and engineering geophysical investigations where electrical contact with the ground is undesirable or impossible. The aim of this paper is twofold, firstly to introduce the CARIS instrument and method and secondly, to demonstrate the potential of CARIS. A field test compares CARIS resistivity field data to a conventional dipole‐dipole ERT survey over an archaeological site in Rome. Lateral changes detected by the CARIS system are consistent with those obtained using conventional resistivity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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