Bibliographic record
Abstract
The paint and coatings producer PPG Industries is considering strategic alternatives—which could include a sale, joint venture, or partnership—for its US and Canadian architectural coating division. The business sells paints, stains, caulks, adhesives, and sealants; it reported about $1.8 billion in sales last year, about 10% of PPG’s revenue. The firm says architectural paint sales slowed in the region last year because of low demand for do-it-yourself projects, a trend PPG expects will continue. The business includes about 6,600 employees, 750 retail stores, and manufacturing sites in five US states and two Canadian provinces. PPG isn’t selling its architectural coating business in Asia, Europe, or Latin America. The company notes that Mexico has been a particularly strong area for architectural coating sales. PPG is in the midst of reducing its portfolio. Last year, it divested traffic paint businesses in Europe, Australia, and New Zealand. In January, PPG announced that it
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.036 | 0.021 |
| Insufficient payload (model declined to judge) | 0.041 | 0.011 |
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".