Airborne Electromagnetic Mapping for Buried Quaternary Sands and Gravels in Northeast British Columbia, Canada
Bibliographic record
Abstract
Abstract An airborne electromagnetic (AEM) survey using the Fugro RESOLVE™ system was conducted over a known, buried sand and gravel deposit in northeast British Columbia, Canada to determine its effectiveness for mapping similar deposits in the area. The rarity of gravel deposits in this region provides a significant economic constraint for developing oil and gas infrastructure. Topographic relief is minimal and the area is overlain by organic materials, clay-rich tills, and glaciolacustrine sediments. Traditional exploration methods, such as airphoto interpretation, are therefore ineffective for locating these buried deposits. The buried deposit appears as a resistivity high on the apparent resistivity maps, particularly the 115,000 Hz map. The resistivity high covers a larger area than that defined initially by test pitting. Trenching within this extended zone verified the presence of sand and gravel. Other resistive features in the region were identified by the survey and one of these was confirmed by recent test pitting to be a large sand and gravel occurrence. No surface indications of sand and gravel were evident over any of these occurrences. The cross sections indicated these sand and gravel occurrences have resistivity values greater than 70 ohm-m, often greater than 100 ohm-m, whereas the surrounding till has resistivity values between 5 and 15 ohm-m. The airborne survey proved to be a highly successful method of locating sand and gravel deposits in this area of British Columbia that could be widely used in other plains regions with similar geological settings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".