An analytical procedure for determining spectral induced polarization characteristics of anisotropic rocks, Yellowknife mining district, Northwest Territories
Bibliographic record
Abstract
Electro-electrochemical models for mineralized rocks previously proposed are generally too simplistic for application to rock textures containing sulphide minerals in anisotropic rocks. A new spectral induced polarization study (1 10 6 Hz) has been carried out to modify and enable application of these models to a typical anisotropic rock with layers enriched in electronically conductive sulphide minerals and layers barren of such minerals. This includes the use of scanning electron microscope images of rocks. Results indicate the existence of dielectric effects of rock-forming minerals, frequency-dependent permittivity and resistivity effects of pore surfaces in layers barren of sulphides, and nonfrequency-dependent resistivity effects in both the mineralized and nonmineralized layers. Frequency-dependent permittivity effects of electrochemicaldouble layers on sulphide grains in the mineralized layers also existed. These effects have been characterized by nine coefficients of an equivalent circuit to model the rock. These coefficients were determined by interactive curve fitting of calculated to measured curves.
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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 | 0.001 |
| 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) | 0.002 | 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".