Bibliographic record
Abstract
Air Liquide has paid $21 million for a 19% stake in Hydrogenics, a Canadian maker of fuel cells and equipment for generating hydrogen. The two plan to jointly develop proton exchange membrane electrolysis technology for hydrogen energy markets. Mitsui & Co. and Ishihara Sangyo Kaisha have jointly purchased a 25% stake in Ouro Fino Quimica, a Brazilian agrochemical company. Mitsui says the company, founded in 2010, has developed “top-notch” formulas for the Brazilian market. EverZinc, the former Umicore zinc chemical business, has acquired GH Chemicals, a Canadian maker of zinc oxide with 58 employees. The acquisition is EverZinc’s second since OpenGate Capital acquired it in 2016. Kyocera has acquired H.C. Starck Ceramics, a German ceramics maker, for an undisclosed sum. Kyocera says the purchase will expand its fine ceramics business into Europe from Japan and the US. Adaptive3D has completed a financing round led by the venture capital arms 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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.709 | 0.749 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".