Discovery of polymetallic porphyry at the Silver Queen, British Columbia using airborne EM and TITAN-24 DCIP and MT surveys
Bibliographic record
Abstract
Abstract Airborne electromagnetic, ground direct current and induced polarization (DCIP), and magnetotelluric (MT) surveys have extensively been used in mining exploration and more particularly for the exploration of base metal mineralization. The continuous development of geophysical techniques with advances in the instrumentation and signal processing and the recent development of robust 3D inversion algorithms make possible the detection and accurate delineation of deep-seated mineralization of economic interest. Recently, a deep-penetrating TITAN-24 DCIP and MT survey was conducted over the Silver Queen project area, located in British Columbia, Canada in two phases (2011 and 2012, respectively) by Quantec Geoscience Ltd. on behalf of New Nadina Explorations Ltd. for the exploration of porphyry-style polymetallic mineralization. The ground survey was carried out as a follow-up to the helicopter-borne z-axis tipper electromagnetic survey flown during the spring of 2011 by Geotech Ltd. with the aim to delineate favorable areas for the exploration of porphyry-style deposits. A deep-seated significant zone of anomalously high chargeability occurring in coincidence with a conductive zone was detected by the ground DCIP and MT survey. Drill-testing based on the 3D inversion results of the data led to the discovery of a new significant deep-seated porphyry-style mineralization. The discovery drillhole contained visible disseminated to semimassive sulphide mineralization, gold and molybdenite over 350 m for a total drillhole depth of approximately 800 m and occurs in association with a significant mineralized stockwork zone open at depth.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".