Bibliographic record
Abstract
For example, total production capacity at BC's three cement plants is 2.62m tonnes. Assuming these plants operated at 90% of capacity and the price of cement was C$170/tonne, the estimated value of cement produced in BC was over C$400m last year. This is equivalent to the total worth of BC's industrial mineral production for 2015 and illustrates the importance of value-added processing. BC hosts more than 60 known occurrences and resources of magnesite. The Mount Brussilof deposit in southeast BC is owned by Baymag Inc., and was the only deposit in production in 2015 ( Figure 4 ). Over the past few years, the production rate has been about 220,000 tpa magnesite. Most of the ore is transported to the company's processing plant in Exshaw, Alberta, where it is converted into calcined magnesia. The Driftwood Creek deposit, owned by MGX minerals Inc., also in southeast BC, is currently the most active magnesite exploration project in the province. The Aley carbonatite is the largest and most developed niobium (Nb) deposit in BC. Current resources are estimated at 285.8m tonnes at 0.37% niobium pentoxide (Nb[subscript]2 O[subscript]5 ) measured and indicated. The Upper Fir carbonatite near Blue River contains an indicated resource of 48.4m tonnes at 197 ppm tantalum pentoxide (Ta[subscript]2 O[subscript]5 ) and 1,610 ppm Nb[subscript]2 O[subscript]5 and an inferred resource of 5.4m tonnes at 191 ppm Ta[subscript]2 O[subscript]5 and 1760 ppm Nb[subscript]2 O[subscript]5. The Wicheeda Lake carbonatite (Spectrum Minerals Corp.) was drilled in 2008 and 2009, and is the most developed rare earths project in BC. The lesser known Rock Canyon Creek REE-fluorspar prospect is another deposit with significant rare earths intersections. Fifty five other REE occurrences are known in the province.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.148 | 0.021 |
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".