Structural Geology and Fracture Analysis of Grotto Canyon, Alberta
Bibliographic record
Abstract
Summary Grotto Canyon was chosen because the large variety of structures, fracture data, lithologies, veins types, and different temperature regimes within this area make it an important analog for what may be occurring in the foothills of compressional belts around the world. This study analyzed a variety of different features that were ultimately used for three different purposes. The first goal of the project was to test the validity of the new Circle-Window method by comparing it to the traditional Scanline technique at the same location on the outcrop. The second goal of the project was to determine the controls of the basement structure in this area on the surface geology, subsurface geology, and on the density and orientation of the fractures. Balanced cross-sections and the fracture data analysis were used to look for correlations that are not consistent with the surface structural geometries. The third and most important goal was to produce a predictive model that can be used to locate naturally fractured reservoirs in compressional tectonic belts.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".