Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High-Resolution LiDAR Point Clouds along the Dalton Highway, Alaska, January 2024
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
Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Dalton Highway, as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. Dalton Highway, also known as Alaska Route 11, is a critical and remote thoroughfare that stretches approximately 414 miles from Livengood to Deadhorse, near the Arctic Ocean. This highway traverses a diverse and challenging landscape, including the Yukon River, the Arctic Circle, and the Brooks Range. The highway was originally constructed as a supply route for the Trans-Alaska Pipeline System and remains vital for supporting oil operations in the Prudhoe Bay Oil Fields. The Dalton Highway's remote location and extreme weather conditions present unique challenges and opportunities for studying Arctic geospatial phenomena, including permafrost dynamics, thermokarst formation, and other cold-region processes, hence this data seek to meet some of these needs.
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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 | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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