Modelling mineral potential for the Greater Nahanni Ecosystem using GIS-based analytical methods
Bibliographic record
Abstract
Mineral potential within the Greater Nahanni Ecosystem was modelled in a Geographic Information System (GIS) for four different deposit models: 1) SEDEX -stratiform shale-hosted sedimentary-exhalative Zn-Pb-Ag, 2) 'carbonate-fault' - carbonate-hosted zinc-lead-silver associated with major faults, 3) 'intrusion-related' - includes skarn, rare metals and gemstones), and 4) Carlin-type gold as lode and/or derived placer deposits. This mineral-potential modelling study integrates data collected during two Mineral and Energy Resource Assessment (MERA) projects. The results have contributed to the process of determining the geographic boundaries of the proposed expansion of the Nahanni National Park Reserve. Four mineral potential maps were produced (one for each model) using a data-modified knowledgedriven approach. A weighting scheme, based on integrated mineral deposit and regional geological knowledge, was derived for the various evidence maps for each deposit model. The four potential maps, plus a fifth map of hydrocarbon potential based on the Nahanni MERA 1 assessment, were then combined into a final mineral-potential map using two algorithms: an additive operator and a maximum operator. Prediction plots of the four deposit models show that partial data sets provide reasonable predictions of the remaining known data. Several areas within the study area were identified as having very high mineral potential. For SEDEX zinc-lead-silver type deposits, five areas were identified: A) Howards Pass at the northwest end of the 'zinc corridor'; B) another strand of this corridor northwest of the Cantung mine; C) the Meilleur River Embayment; D) Selena Creek; and E) east of Prairie Creek. For carbonate-fault zinc-lead-silver deposits, five areas are highlighted: F) Prairie Creek; G) Broken Skull Fault; H) Selena Creek; I) Howards Pass; and J) southeast of the Cantung mine. For intrusion-related deposits, three areas stand out: K) Selena Creek; L, M, N) a broad zone intruded by the Tay River plutonic suite including Cantung; and O) O'Grady Batholith. Finally, for the Carlin-type lode and/or placer gold deposits, six areas have high ratings: P) Selena Creek; Q, R, S) a broad linear zone of intrusions dividing and overlapping the 'zinc corridor'; T) surrounding the Mount Hamilton pluton; and U) in and around the O'Grady batholith. High natural gas potential was assessed under the MERA 1 project in the southeast corner of the study area, over the untested Etanda Dome and Twisted Mountain Anticline, as well as over the partially explored Mattson Anticline.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".