THE APPLICATION OF LARGE SCALE AERO GEOPHYSICAL SURVEY TO GEOLOGICAL PROSPECTING: Cu-Mo POLYMETALLIC MINE PROSPECTING IN NOVA SCOTIA PROVINCE SYDNEY,CANADA
Why this work is in the frame
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Bibliographic record
Abstract
This paper briefly introduces the development status of the Canadian airborne geophysical survey by taking Nova Scotia province Sydney Cu-Mo Polymetallic mine as an example,and introduces the large scale aerial geophysical prospecting and its achievements.Through the collection of mining area aeromagnetic and the partial ground magnetic surveying data,and with data processing,integration and analysis based on the geology and the already available geological rule,several geological models and geophysical models have been established in the survey area,which have been used to the division of mining area geological structure,classification of rock mass and the delineation of valuable ore target areas for prospecting,and offering the help for geological exploration.
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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 | 0.000 |
| 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