Bibliographic record
Abstract
Arzeda has raised $12 million in a series A round of funding led by OS Fund. The Seattle-based firm uses computational and synthetic biology to create enzymes and chemicals in “cell factories.” Arzeda says it will use the money to scale up its high-throughput computing and lab screening capacity. Clariant has joined Kopernikus, a renewable energy initiative of the German government. Clariant catalysts will be used in a storage technology in which hydrogen is chemically bound through catalytic hydrogenation and then released via catalytic dehydrogenation. GreenMantra Technologies has raised $3 million from Closed Loop Fund, a social impact investment fund, to help it expand a one-year-old plant in Ontario that converts postconsumer and postindustrial plastics into high-value waxes. The firm expects the project to be complete next year. Asahi Kasei will boost its capacity in Singapore for solution-polymerized styrene butadiene rubber by 30% to 130,000 metric tons per year. The
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".