Fertiliser outlook: : Oversupplied and under-priced
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
According to Jeffery Brown, director of Vancouver-based junior mining company Encanto Potash, the commodity price swings of 2008-2012 changed the landscape of the potash market, resulting in several entities attempting to break into the market via new projects. The long-awaited merger between PotashCorp and Agrium brings the new company’s nameplate capacity to more than 20 million tpy. Since PotashCorp is one of the world’s lowest-cost producers of potash and Agrium has an extensive retail network in the US, the merger is likely to be an effective one for both firms. According to SpendEdge, suppliers in the fertilizer industry are replacing old technology with new and advanced technology, which boosts utilisation rates and lowers production costs. The company also expects raw material prices for its products to decline when it brings online additional production throughout 2018. Since higher phosphate prices have been driven by a dip in US and Chinese exports, higher raw material costs and demand from India and Brazil, Integer Research expects only a short-lived price rally.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 it