Indicator minerals of the Meliadine orogenic gold deposits, Nunavut (Canada), and application to till surveys
Bibliographic record
Abstract
The Meliadine Gold District is located about 25 km north of Rankin Inlet, Nunavut (Canada), in the Archean Rankin Inlet greenstone belt. The bedrock is composed of greenschist facies metamorphic rocks. The composition of tourmaline and scheelite is investigated by electron probe micro-analyser (EPMA) and laser ablation inductively coupled plasma mass spectrometry (LA ICP-MS). The chemical composition of these indicator minerals from the Meliadine deposits is compared with the composition of grains extracted from till samples along a 2 km transect parallel to the direction of ice flow at the Mustang showing. Tourmaline from the deposit is characterized by a flat rare earth element (REE) pattern having a positive europium anomaly also found in tourmaline grains in till samples down-ice of the Mustang showing. Scheelite from the Mustang showing shows a bell-shaped REE pattern with a negative europium anomaly, which is also found in scheelite from down-ice till samples. Scheelite and tourmaline recovered from till down-ice from the Mustang showing have a composition diagnostic of the gold mineralization. Determining the composition of tourmaline and scheelite in unconsolidated sediments can serve to identify gold mineralization and has the potential to be applied in mineral exploration in the Meliadine Gold District and elsewhere.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".