Integrating Landsat, Geologic, and Airborne Gamma Ray Data as an Aid to Surficial Geology Mapping and Mineral Exploration in the Manitouwadge Area, Ontario*
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
For suq5cial mapping and mineral prospecting purposes, Landsat Thematic Mapper, airborne gamma ray spectrometry, and geological data were integrated for a 5000-km2 area near Manitouwadge, Ontario. Using characteristic Landsat data signatures for the main surficial units, the signatures for 6,250,000 30-by 30-m-pixel areas were evaluated, and each pixel area was assigned to a surficial unit category. When the predictive surficial geology map thus generated was compared to eight surficial geology units on a published suq5cial geology map, there were obvious visual similarities, with an overall pixel-by-pixel accuracy of 46 percent. Pixel areas with Landsat and gamma ray signatures comparable to those of training sites in base metal-enriched tills near the Manitouwadge area mines, commonly formed clusters or near-linear bands overlying Archean greenstone belts or in close contact with a carbonatite complex where Fe and Zn mineralization is known. Tests on these derivative pixel areas indicated that their distribution was controlled almost entriely by the gamma ray data signatures.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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