Bibliographic record
Abstract
Formosa Petrochemical has received air permits from Louisiana’s Department of Environmental Quality for a $9 billion project it is considering building in Saint James Parish. The project still requires a final go-ahead from Formosa. Showa Denko will build a $28 million facility in Shanghai to make high-purity gases for the electronics industry. Output will include nitrous oxide, used to form oxidized films, and octafluorocyclobutane, used to etch the films. Livent has lowered its earnings forecast for the fourth quarter and full-year 2019. The company, a spin-off from FMC, attributes the revision to lower-than-expected prices for lithium chemicals. Ionomr Innovations, based in Vancouver, British Columbia, has raised $3 million in a seed round of funding to develop ion-exchange membranes and related polymer products. The start-up makes materials for fuel cells, hydrogen production, and batteries. Boragen, one of C&EN’s 10 Start-Ups to Watch in 2017, has raised $2 million from existing investors
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.812 | 0.851 |
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".