Occurrences and mineralogy of lithium pegmatite in eastern Canada and for example the Georgia Lake pegmatite in more detail
Bibliographic record
Abstract
Eastern Canada hosts several occurrences of lithium pegmatite, which have recently come into the focus of exploration activities and detailed studies. Driven by the current and expected future demand for Li, the mineral occurrences are targeted by exploration companies. This area in Canada is currently in the focus for targeting the mineral occurrences of lithium pegmatite. The majority of the pegmatite are hosted in metasediments or biotite-rich granite. In the more northern part the host rock becomes also greenstone. These pegmatite are very old up to 2.6 billion years old. The latest update of the exploration data and statistical modelling combined with a more detail mine plan some new results will be presented for some of the Georgia lake pegmatite. The lithium mineralisation in these pegmatite is in many cases the spodumen. This light green pyroxene is often bid as an finger and builds up to 20 % of the volume of the pegmatite. In addition, previous work also identified beryl, columbite, molybdenite, amblygonite, apatite, and bityite, enhancing the Li and rare metals potential of the area. The pegmatite has different thickness and length. The bigger ones are up to a mile long and in some cases up to 20 m wide. Sometimes they split up in parallel dikes. The Li2O contend of the pegmatite varying from 0 up to 2,7 %. During the investigation some million tonnes of resources were defined with an average Li2O contend of around 1 %.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".