Bibliographic record
Abstract
Acetylene was pyrolyzed in a flow system at pressures between 104 and 403 Torr and temperatures between 854 and 971 K. Products were analyzed by gas chromatography with flame ionization and mass spectrometric detection. In some experiments the reactor was placed in the chromatographic oven to limit condensation. Twenty-four products were detected, of which fifteen were found to be primary. Orders and Arrhenius parameters were found for thirteen products. The results were interpreted in terms of a radical mechanism with 24 reactions for pure acetylene. Radical addition to acetylene produced chemically activated radicals, which could either eliminate a hydrogen atom or add more acetylene. If the radical contained five or more atoms, cyclization to form cyclopentadiene or an aromatic compound, respectively, was also possible. It was suggested that radical recombination could produce chemically activated intermediates that could cyclize to form cyclohexadienes. Addition of neopentane introduced methyl radicals, which could participate in another series of ten chemically activated acetylene addition and hydrogen elimination reactions to form propyne, cyclopentadiene and toluene. Five quotients of rate constants were calculated for competitive reactions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".