The discovery and geology of Sinclair, Australia’s first caesium deposit
Bibliographic record
Abstract
SummaryThe Sinclair Caesium Deposit, discovered in 2016 by Pioneer Resources Limited, is Australia’s first mining operation to commercially extract the caesium-rich mineral pollucite. Economic caesium deposits are extremely rare, with only three mining operations having produced commercial quantities of pollucite: the Bernic Lake Mine (or Tanco Mine, Manitoba, Canada), the Bikita Mine (Zimbabwe) and now the Sinclair Mine (Western Australia).The formation of pollucite only occurs in extremely differentiated lithium-caesium-tantalum (LCT) pegmatites and given their size and rarity, it can be assumed that caesium-rich deposits globally are either challenging to explore for or form surpassingly rarely during the emplacement of LCT pegmatites.Common with the Bernic Lake and Bikita Deposits, the Sinclair Deposit’s host LCT pegmatite consists of an outer pegmatite wall zone that is coarse grained, and dominated by plagioclase feldspar, muscovite and quartz with other accessory minerals; and an inner core zone composed of quartz, albite (cleavelandite), lepidolite, pollucite, petalite, zinnwaldite, eucryptite, beryl and amblygonite. The core zone is ‘capped’ by a thick (~35-40 m) monomineralic potassium feldspar zone.This paper will present details on the discovery and geology of the Sinclair Caesium Deposit.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".