Re-interpretation of the geology of the Cape Breton Highlands using combined remote sensing and geological databases
Bibliographic record
Abstract
Relationships among the varied rock units of the Cape Breton Highlands as revealed by geological mapping are not everywhere clear, in part due to limited exposure and also to difficulty of access in some areas. This study was undertaken to try to improve on the geological interpretation of the highlands, especially in those problematic areas, by combining geological and remote sensing databases. The geological database was assembled based mainly on published maps. Remotely sensed information used in the study included Radarsat S7, Landsat TM, gravity, magnetic (vertical gradient and total field) and radiometric data. A Digital Elevation Model (DEM) was constructed from 174 Nova Scotia 1:10,000-scale contour map sheets. The geological, geophysical, and remotely sensed data were integrated into a Geographical Information System, and the resulting database was used to evaluate the various geological interpretations of the highlands. The combined DEM and vertical gradient image and a classified image based on radiometric data proved most useful in the interpretation process. The key result of the study was to demonstrate how the combined data sets can lead to improved geological interpretation, in particular with respect to geological contacts between known map units in poorly exposed areas, and in the location of major faults and postulated terrane boundaries. Granitoid map units were best detected and distinguished with the radiometric data.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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 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".