Discovery of the Otoineppu Epithermal Project, Omu Camp, Hokkaido, Japan
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
ABSTRACT The Miocene low‐sulfidation epithermal deposits of the Omu camp in the Kitami region of northeast Hokkaido, Japan, are small past producers of precious metals that represent significant exploration targets for high‐grade Au and Ag ores. Following changes in the Japanese mining law, Irving Resources initiated a camp‐scale exploration program in 2016. Exploration resulted in the early recognition of a previously undescribed silica sinter outcrop along the Otoineppu River. Rock chip sampling combined with mapping of the sinter and related surficial deposits, as well as a camp‐scale stream sediment survey, highlighted the potential for mineralization associated with the discovered silica sinter. Regional gravity and magnetic surveys indicated that Otoineppu Sinter occurs at the eastern edge of a major inferred graben, trending north northeast–south southwest. Subsequent controlled‐source audio‐frequency magnetotelluric and moving‐loop electromagnetic surveys suggested that the sinter is located in the structural hanging wall of a major normal fault, a possible focus of fluid flow to the surface, providing a target of a potential mineralized zone at depth. The geophysical surveys provided critical information as the exploration area is heavily vegetated and partially covered by young sedimentary deposits, with only limited surface exposure. Drilling in 2019 and 2020 proved the existence of a mineralized zone having high Au and Ag grades beneath the silica sinter. The discovery history of Otoineppu Sinter serves as an example of data integration during brownfields exploration of a historic mining camp. The existence of an undocumented silica sinter within a heavily vegetated area highlights the prospectivity of the Kitami region for low‐sulfidation epithermal deposits.
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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 | 0.000 | 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 | 0.001 | 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 it