Bibliographic record
Abstract
W. R. Grace’s board has elected Hudson La Force as president and CEO. La Force, who joined Grace in 2008 as chief financial officer, replaces CEO Fred Festa, who led Grace for 15 years and is now nonexecutive chairman. DuPont will spend $80 million to build a manufacturing plant in Zhangjiagang, China. The plant will compound engineering polymers and make lubricants, specialty silicones, and automotive adhesives. Pacific Industrial Development will spend $17.2 million on a 3,700-m2 technology center at its Ann Arbor, Mich., site. The investment, along with a $400,000 state grant, will create 50 new jobs and enlarge its catalyst support and electronic material businesses, the firm says. Kraton says it expects to completely restart its Panama City, Fla., pine chemicals facility by mid-first-quarter 2019. The facility was damaged in October by Hurricane Michael. Arkema will fund a chair for five years at École Polytechnique with the aim of
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.823 | 0.827 |
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".