Supply and Demand Situation of Sylvite in World and Participation in the Global Investigation and Exploitation
Bibliographic record
Abstract
World's output of sylvite in 2005 amount to 34.46 million t.and consumption amount to 30.05 million t.Though the vollume of supply outstrip the volume of demand,but the rate of output growth is lower than the rate of concumption growth.The consumption of sylvite in China amount to 7.15 million t.in 2005 and 6.52 million t.in 2006,the rate of import is about 70%.The experts forecast that the import volume of sylvite in China will amount to 6 million t.after 10 years.This means that China will import a large of sylvite from other countries in future.In addition,we can encourage mining enterprises to participate in the global investigation and exploitation of sylvite,for example,go to Canada,Russia,Belarus,Germany,Jordan,Brazil,Chile etc.for solving shortage problem of sylvite in China.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".