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
Abstract The physical, chemical, and toxicological properties of perfluorocarbons (PFCs), chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs), and bromo‐ or iodofluorinated derivatives are reviewed. The principal methods for their manufacture, including cobalt trifluoride or electrochemical fluorinations, and liquid‐ or vapor‐phase additions and halogen exchanges with hydrofluoric acid are discussed. The diverse commercial uses of fluorinated aliphatics are described with particular emphasis on the primary high volume markets for refrigerants, foam‐blowing agents, propellants, and cleaning agents. The ozone‐depleting potentials of chlorodifluoromethane (HCFC‐22) and the CFCs traditionally used in these markets including fluorotrichloromethane (CFC‐11), dichlorodifluoromethane (CFC‐12), 1,1,2‐trichlorotrifluoromethane (CFC‐113), 1,2‐dichlorotetrafluoroethane (CFC‐114), and chloropentafluoroethane (CFC‐115), and those of the principal brominated materials used as fire extinguishants, bromotrifluoromethane (H‐13B1) and bromochlorodifluoromethane (H‐12B1), are discussed. The impact of the Montreal Protocol on internationally regulating the manufacture of ozone‐depleting materials, especially CFCs, and the industry's progress in developing suitable replacements are reviewed. The properties of the CFCs are compared to those of their leading replacement candidates including 1,1,1,2‐tetrafluoroethane (HFC‐134a), pentafluoroethane (HFC‐125), 1,1‐dichloro‐2,2,2‐trifluoroethane (HCFC‐123), 1‐chloro‐1,2,2,2‐tetrafluoroethane (HCFC‐124), 1,1‐dichloro‐1‐fluoroethane (HCFC‐141b), 1‐chloro‐1,1‐difluoroethane (HCFC‐142b), 1,1‐dichloro‐2,2,3,3,3‐penta‐ fluoropropane (HCFC‐225ca), and 1,3‐dichloro‐1,1,2,2,3‐pentafluoropropane (HCFC‐225cb).
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.029 | 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