The Pre-Concentration of the Nechalacho Deposit: Selective Comminution
Bibliographic record
Abstract
The Nechalacho deposit, located in the Northwest Territories, Canada, is a heavy rare earth element (REE) deposit. Of the various REE-bearing minerals in the deposit, zircon is of significant importance, due to its elevated heavy rare earth element (HREE) content. Previous studies investigating the use of gravity and magnetic separation in the processing of this ore showed that coarse particles following grinding were enriched in zircon, suggesting the potential for selective comminution. The current work investigates the possibility to selectively comminute gangue minerals and concentrate REE-bearing zircon into coarser size fractions. The ore was ground wet in a laboratory ball mill for various lengths of time (0, 10, 20, 30, and 40 min). The grind size which resulted in the greatest grinding characteristics (upgrading, recovery, liberation) for zircon was then processed by dense medium separation (DMS) to determine further upgrading could be achieved by gravity separation. ICP-MS was used to determine the distribution of zirconium and REEs, and QEMSCAN, to identify mineral phases, mineral liberation and the distribution of minerals for both the comminution study and the DMS test work.
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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 | 0.000 | 0.000 |
| 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".