Bibliographic record
Abstract
Lithium earnings up 45%; Higher prices for hydroxide: Revenues increase 9% FMC Corp saw earnings from its lithium segment jump to $22m in Q1 2017, from $15m from Q4 2016. Meanwhile revenue from the segment rose 9% to $66m. Higher prices and improved product mix in Q1 offset the impact of lower volume and higher costs on earnings, according to the US-based producer. Outlook In the same announcement, FMC increased its lithium outlook for the full year by $10m at the mid-point versus the prior forecast. The segment revenue for full year 2017 is forecasted to be in a range of $325-365m and the full-year segment earnings are anticipated to be between $100m and $120 m. This revised forecast for full year segment earnings represents an increase of over 55% at the mid-point compared to the prior year while second quarter earnings are expected to range between $19m and $23m, an increase of 27% at the mid-point compared to the prior year quarter. This article from the June issue of Industrial Minerals magazine was first published online on 3 May 2017.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.160 | 0.053 |
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".