The nature and origin of REE and associated rare metal mineralization in the B-Zone at Strange Lake, Québec
Bibliographic record
Abstract
The Strange Lake rare-metal (Zr, REE, Nb, Be) deposit on the border of Québec and Labrador, Canada, contains a large resource of zirconium, rare earth elements and niobium. Much of the potentially economic mineralization was concentrated by magmatic processes, with additional remobilization of REE by hydrothermal fluids. The alkaline granite pluton (1240 ± 2 Ma; Miller et al., 1997) intruded along the contact between an Elsonian quartz monzonite massif in the southwest and paragneisses of Hudsonian age in the northeast.Much of the rare metal mineralization occurs in pegmatite lenses in the subsolvus granite, which are most abundant in the Main Zone in the middle of the pluton and the B-Zone at the northwest edge. Zirconium is hosted by a variety of silicates, mainly zircon, gittinsite and elpidite and Nb by pyrochlore. The LREE are present in pyrochlore, allanite-(Ce), monazite-(Ce), bastnäsite-(Ce) and parisite-(Ce), whereas the HREE are concentrated in zircon, gadolinite-group minerals, kainosite-(Y) and keiviite-(Y).A petrogenetic model is proposed for the B-Zone in which magmatic crystallization of HREE in zircon at the edges of pegmatite lenses was followed by leaching of the HREE by a high-temperature, Na-Cl-F magmatic fluid. The HREE were subsequently mobilized as Cl-complexes to the core of pegmatites where they reacted with a regional low-temperature, Ca-bearing brine, which caused the precipitation of fluorite and secondary HREE mineralization. Hydrothermal fluids altered the distribution of the REE, locally depleting them at the edges of the pegmatites and enriching them in the cores, which will be the main source of REE for potential future exploitation.
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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 | 0.003 | 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) | 0.003 | 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".