Experimentation of Gravimetric Measurements to Detect the Presence of Buried Ice along the Mary River Railway Corridor
Bibliographic record
Abstract
While the universal force of gravity is a constant, the gravity field of the Earth varies due to anomalies within the Earth. The Earth is made from different materials of different mass with varying densities. All have an impact on the Earth's gravitational field and can thus be detected and described using gravimeter measurement systems. Ice has a density of 917 kg/m3 which is about half of the density of soil. Therefore, a large volume of buried ice is likely to generate a significant gravimetric anomaly detectable using high precision land gravimeter surveys. The objective of the study conducted at Mary River, Baffin Island, Canada was to assess the feasibility of using a high precision gravimeter to detect the presence of ground ice. Gravimeter surveys appear to be an effective technique to detect the presence of buried ice bodies along a transportation corridor such as the Mary River Railway. The technique allows detecting large ice bodies and gives best results when ice bodies are buried at shallow depths.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".