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
Chemical companies want to reduce greenhouse gas emissions wherever they can, and one of their first targets is their most notorious source of carbon dioxide: the steam cracker. Steam cracker furnaces burn massive amounts of natural gas and other hydrocarbons to achieve the temperatures of approximately 900 °C needed to break the carbon-hydrogen and carbon-carbon bonds in ethane, naphtha, and other feedstocks to make building-block chemicals like ethylene and propylene. Steam crackers emit around 1.2 metric tons (t) of CO 2 per 1 t of ethylene produced, according to a recent paper in Catalysts . Many large petrochemical companies are greening their ethylene production. Dow, for instance, is building a cracker in Alberta that will capture its CO 2 for sequestration underground. For the longer term, the company, along with Shell Chemicals, is testing electric furnaces that would run on renewable power. And many chemical companies are developing entirely new
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 | 0.001 |
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