Passive airborne EM and magnetics over SEDEX lead-zinc deposits at Howard's Pass, Yukon
Bibliographic record
Abstract
Summary As part of a regional scale 24,675 line-km survey covering a 25,000 km2 area (1 km line spacing) in the Selwyn Basin, ZTEM and magnetics were acquired over the ~250 Million tonne SEDEX resource at Howard's Pass with ~4.5% Zn and ~1.5% Pb. The >37km long “zinc corridor” hosts as many as 15 known SEDEX deposits defined in the last 30 years since the initial discovery in 1972. The surveys highlighted a NW-SE conductive and weakly magnetic correlation with the >37km long “zinc-corridor” deposit area defined by drilling. 2D-3D inversions of the ZTEM and magnetic reveal a correlation between enhanced conductivity along strike and the clustering of deposits at Howard's Pass. However, because the mineralized Active Member is thin (<30m), the conductor must also encompass the surrounding Howard's Pass Fm. black shales units to be resolvable in the AEM results. This is explained either by enhanced mineralization in areas of thicker black shale subbasins or simply separation of the mineralized and shale horizons by fault-displacement.
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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 | 0.001 | 0.000 |
| 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) | 0.001 | 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".