Comparison of AIRGrav and GT-1A airborne gravimeters for research applications
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 Airborne gravimetry has played a vital role in contributing to our knowledge of the subglacial environment in polar regions. Previous programs have produced extensive gravity data sets in Antarctica, but the resolution and accuracy of the data have been limited. We have evaluated the relative performance and suitability of two different airborne gravimeters for research applications from flight tests over the Canadian Rocky Mountains near Calgary. Survey design, mission profiles, and demands on the performance of an airborne gravimeter are different for the remote polar environment than for most commercial exploration surveys. Both systems, the AIRGrav and GT-1A, can produce higher-resolution data with improved flight efficiency than can the BGM-3 and LaCoste & Romberg gravimeters used in Antarctica. The AIRGrav and GT-1A systems are capable of draped flying of airborne gravity, allowing new applications for polar use. Both systems could provide the academic community with a significant increase in accuracy and horizontal resolution to enable major advances in understanding the subglacial environment. Compared to the GT-1A system, the AIRGrav system has a lower noise level and higher accuracy, and it is less sensitive to changing flight conditions — in particular, vertical accelerations during turbulent flights.
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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