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
Like companies everywhere, US chemical makers were buffeted last year by COVID-19. Lockdowns due to the pandemic slowed economic activity to a crawl, and firms scrambled to respond by cutting capital spending and other costs. The pandemic’s effects are reflected in C&EN’s latest survey of the top 50 US chemical producers, which is based on data from 2020. The 50 firms combined for $250.9 billion in chemical sales, 10.1% lower than what they had posted a year earlier. Profits declined even more sharply. The 46 firms that report chemical operating income combined for $24.8 billion, down 15.6%. The results were worse in the depths of the pandemic, in April and May of last year. Many chemical companies saw chemical sales fall more than 20% in the second quarter last year. For example, Dow reported a sales drop of 24.2% in the period, compared with a 10.3% decline for the full
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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