Canadian Wollastonite: : Developing a white mineral for green markets
Bibliographic record
Abstract
Canadian Wollastonite is privately-owned company, based in eastern Ontario, Canada. Incorporated in 2001 as 2005948 Ontario Ltd, the corporation operates under the trade name Canadian Wollastonite and describes itself as mining start-up business producing a white mineral for green world. Our short term focus has been on developing markets for run-of-mine ore products, [Bob Vasily] told IM. Our wollastonite ore grades are around 42-50% and 38-45% diopside. This ore is non-carbon emitting single mineral source of silicon (Si), calcium (Ca) and magnesium (Mg) and it is this chemistry that defines the markets we are selling into currently. include agriculture, horticulture, slag conditioning, animal feed and number of environmental applications. Research projects, many of which are being supported by grant from the Ontario Ministry of Agriculture, Food and Rural Affairs' Economic Development Programme, include testing Canadian Wollastonite's material in silicon-rich soils to increase pest and disease resistance in crops and to mitigate sodium build-up in greenhouse soils. It is also being investigated as product that can be used to remove phosphorous from greenhouse wastewater. These are markets that the large existing producers cannot really get into, due to their costs and limited resources, Vasily said.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".