Bibliographic record
Abstract
CHEMICAL FIRMS are reporting much-improved third-quarter earnings compared with the same period in 2005;10 of the 11 firms that have published their results show double-digit or better growth. The largest earnings growth generally came at the smaller companies. Of the five firms with less than $1 billion in quarterly sales, earnings growth ranged from 25.4% at Cytec Industries to 130.8% at Albemarle. Increases in earnings at the six larger companies were between 8.8% at PPG Industries and 35.7% at DuPont. Albemarle posted a triple-digit improvement in earnings from continuing operations, excluding significant one-time items, of $60.7 million, on a 20% increase in sales to $608 million. "All three of our segments saw continued revenue growth and improved profitability, with both catalysts and polymer additives achieving segment income margins above our 15% corporate goal," says CEO Mark C. Rohr. The second-largest quarterly earnings increase came at Hercules, although it also was the only company in the ...
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.217 | 0.075 |
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".