Bibliographic record
Abstract
Borealis, Borouge, and Nova to combine Abu Dhabi National Oil Company (ADNOC) and the Austrian refiner OMV are combining their petrochemical holdings to form Borouge Group International, which will be the fourth-largest polyolefins producer in the world, with 13.6 million metric tons of capacity. The new firm will merge European chemical maker Borealis, which is owned 75% by OMV and 25% by ADNOC, with Borouge, a United Arab Emirates polyolefins maker owned by 36% by Borealis and 54% by ADNOC. In addition, ADNOC will buy Canada’s Nova Chemicals for $13.4 billion, including debt, from the Abu Dhabi sovereign wealth fund Mubadala Investment. Nova will be contributed to the combined company when it is formed in 2026. The new firm will also include Borouge 4, a $7.5 billion ethylene cracker complex under construction in Abu Dhabi. Borealis, Borouge, and Nova have a total of about $17 billion in annual sales, based
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.368 | 0.325 |
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".