Laboratory reflectance spectra of hydrothermally altered carbonate facies, Pine Point mining camp, NWT, Canada
Bibliographic record
Abstract
This study uses reflectance spectroscopy to examine cores of hydrothermally altered carbonate facies within the North Trend, Pine Point mining camp. Four alteration types were constrained to specific facies in Pine Point, Sulphur Point, and Windy Point formations. These alteration types, each having a unique spectral signature, are: white dolomite, blue-grey dolomite, white calcite, and blue-grey calcite. The blue-grey calcite and dolomite signatures showed similarities in band positions between 0.8 μm and 1.1 μm, a spectral indicator for the presence of ferrous and ferric iron. The white calcite phase had an absorption feature at c . 1.73 μm likely due to organics. The spectral absorption bands for liquid water (1.4 and 1.9 μm) trapped in fluid inclusions were ubiquitous to all samples. Characterization of carbonates with respect to their timing of deposition (pre-, syn-, and post-mineralization) is complicated by lack of sulphides. Laboratory and field observations determined that blue-grey carbonates contain elevated sulphide concentrations compared to their white counterparts and commonly envelope Pb–Zn orebodies, and therefore this carbonate species may be directly associated with the ore deposition events. The carbonate alteration spectral signatures characterized by this study may be used to further the efficiency of airborne hyperspectral exploration in other Mississippi-Valley-Type districts.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".