Electrical conductivity mechanism of sericitic schist samples from Giant and Con mine areas, Yellowknife mining district, Northwest Territories
Bibliographic record
Abstract
Detailed textural examination using scanning electron microscope analysis was performed on six sericitic and chloritic-sericite schist samples in a preliminary study designed to determine the electrical resistivity characteristics of alteration zones that accompany gold-bearing quartz veins in the Yellowknife mining district. The purpose was to obtain information required to help develop efficient exploration strategies. Results indicate that a multilayer electrically anisotropic model consisting of thin alternating resistive and conductive layers applies to five of the six samples studied. The conductive layers are characterized by platy, fine-grained micaceous material, resulting in significant but moderately low electrical resistivity values (3606600 W.m) in the direction parallel to foliation, likely due to moderately good pore-fluid connectivity. Sulphide minerals have had little to no effect on these resistivities. The resistive layers consist of quartz and ankerite. The low electrical resistivity characteristics of the sixth sample are likely determined by a well developed fracture system.
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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 | 0.001 |
| 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) | 0.001 | 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".