Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High Resolution LiDAR Point Clouds along the Steese Highway, Alaska, 2023 - Site_9
Bibliographic record
Abstract
Road data and the surrounding infrastructure was collected using vehicle-mounted LiDAR sensor for several sections of the Steese Highway as part of a continued efforts in providing more geospatial data in Artic regions relevant to cold regions research. The Steese Highway, located in Alaska, is a significant roadway that traverses through the state's interior, providing a vital transportation link within this remote and rugged region. Stretching approximately 261 kilometers, the highway begins in Fairbanks, one of Alaska's largest cities, and extends northward, ultimately connecting with the town of Circle near the Yukon River. The survey was conducted in the summer period of 2023. The corresponding point cloud data shows evidence of road degradation and damage, offering valuable resources for terrain visualization and analysis.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".