Price Briefing: Lithium prices "expected to be flat" for 2013, says FMC while rare earths dip
Bibliographic record
Abstract
We are seeing the growth for EV N if it takes off N to take off post 2015. And it's a bit slower than what most companies would have said one or two years ago, he specified, adding that there is no significant change or increase in pace in this market today. Due to the lower demand [for] bromine as influenced by continuing macroeconomic tightening policy imposed by the Chinese government, the average selling price of bromine decreased from $3,560/tonne for the first quarter [of] 2012 to $3,053/tonne for the same period this year, CEO Liu Xiaobin said. Commenting on the results, Sirocco CEO, Rick Clark, said: Production [of 363 tonnes] in Q1 2013 was very strong, a 29% improvement over Q4 Gross profits as a percentage of sales also improved in Q1 2013 compared to the last quarter in 2012, notwithstanding a decrease in iodine prices from the all time highs achieved in 2012.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.062 | 0.017 |
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".