Mineral health check - what do Q1 results say about the state of the industry?
Bibliographic record
Abstract
The company saw lithium sales of $60.3m for the quarter, up from $56m in Q1 2015. Q1 earnings were $14.9m, up from $5.5m in 2015. Albemarle Corp., the Louisiana, US-based lithium major, meanwhile reported a y-o-y lithium sales increase of 19%. Its lithium business unit brought in net sales of $136.6m in Q1, up 19% from $114.7m in Q1 2015. Adjusted EBITDA** for the lithium business was up 26% y-o-y to $63.8m from $50.6m Meanwhile US-based Intrepid Potash Inc. said it would idle operations at its West potash mining facility in New Mexico after the company reported a loss of $18.4m in the first quarter of 2016, compared with net income of $6.5m in Q1 2015. The Carlsbad-based mine accounted for 42% of the company's MOP output last year, but a combination of decreasing potash prices, high outstanding inventories and foreign competition made the operation uneconomical.
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 | 0.008 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.057 | 0.022 |
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".