UAS-Deployed programmable Tri-Frequency GPR Data Gathering Along the Alaskan Steese Highway 01/24: Providing Geospatial Resources for Extreme Cold Weather Infrastructure Analysis and Subsurface Visualization
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
GPR sensor data were collected on previous test sites that were tested during the summer field study exercise on Alaska's Steese Highway, as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Steese Highway is a major highway connecting the City of Fairbanks, Alaska, to the small town of Circle, Alaska, next to the Yukon River. The Steese Highway spans approximately 261 kilometers and is the only means of transportation for goods and supplies to the remote towns of both Central and Circle Alaska. The survey was conducted in January 2024 as a companion comparative dataset to the summer 2023 GPR dataset. The drone-flown GPR utilized three frequencies: 300 MHz, 150 MHz, and 100 MHz, to penetrate the ground in an effort to find the depth of permafrost in order to provide geospatial resources for extreme cold weather infrastructure analysis and subsurface visualization.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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