Imagery Integration Methods for Precise Geological Mapping of Rugged Terrain, Alberta, Canada
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
This paper reports on new geological mapping techniques using the rugged area of Moose Mountain, Alberta as a test site. First, we present a web-accessible photographic database that facilitates interactive visualization of multiple rock exposures for geology mapping, and second, the results of analysis of two readily available oblique photogrammetric methods, that have been previously applied to archeological and industrial surveys. These two techniques of high-resolution terrestrial oblique photogrammetry called block bundle and were tested using the web database, in order to evaluate their precision and accuracy as mapping techniques. The efficiency of the new techniques to support geological mapping is compared to other mapping techniques. The results show that in conditions where high-resolution digital elevation and imagery data are available, a web-based terrain rendering technique, combined with a web-accessible photographic database of rock exposures is advantageous to a wide range of geological analyses, including analog modeling of hydrocarbon reservoirs.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it