An industrial mineral for the next millenium
Bibliographic record
Abstract
Talc is a mineral of high quality and from chemical point of view it is Mg3Si04010 /OH/2. It usually contains different additional minerals that signigicantly affect its color and most of all its quality. The quality is decreased by the existence of Fe3+, pyrite and oxide Mn. Talc is used mainly in the paper manufacturing, cosmetic industry, glass industry, as a chemical catalyzator, ingredient in making explosives, in pharmaceutics and car industry.Some of the biggest producers of talc are: China - 2.35 mills tons/year, the USA - 1.0 mills tons/year, India - 500.00 kt/year, Finland - 425 kt/year, and Brazil with 325 kt/year. The most important deposits are located in: Finland (Sotkano deposit), in the USA (deposits in the state of New York, Virginia and Vermont) in Canada (province of Ontariou), Australia (Three Springs deposit) etc.Among one of the first companies being interested in this deposit of talc (along with the Rima Muran Ltd) were companies from Germany Gebruder Dorfner and Thyssen Schachtbau. The result of the detailed research of the deposit performed in 1994 was a Feasibility Study. This deposit with 28 milions tons of talc belongs to the group of most important deposits in the world.Initial acivities began in September 2000 and they are still in progress.The first ton will be placed into themarket during this year. The deposit lies about 350 meters beneath the earth surface. The whole body of talc is 2700 meters from West-East and 820 meters from North-South. The average depth of the deposit is 200 meters.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.010 |
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".