Determination of Vapor Pressures, Octanol−Air, and Water−Air Partition Coefficients for Polyfluorinated Sulfonamide, Sulfonamidoethanols, and Telomer Alcohols
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
Liquid-phase vapor pressures ( P L ) and octanol−air partition coefficients ( K OA ) for N- ethyl perfluorooctane sulfonamide, N- methyl perfluorooctanesulfonamidoethanol, N- ethyl perfluorooctanesulfonamidoethanol, and four fluorotelomer alcohols (CF 3 (CF 2 ) n CH 2 CH 2 OH, n = 3, 5, 7, and 9) were estimated as a function of temperature using a technique based on measuring gas chromatographic retention times relative to those of hexachlorobenzene. The method was calibrated using volatility data for fluorinated aromatic substances, chlorinated benzenes, and pesticides. The fluorinated telomer alcohols were found to have a volatility higher than that of the nonfluorinated alcohols of similar chain length and higher than that of perfluorinated aromatics of comparable molar mass. On the basis of their volatility, the polyfluorinated chemicals are expected to occur predominantly in the atmospheric gas phase. The water−air partition coefficient ( K WA ) for the three shorter carbon chain length fluorotelomer alcohols was determined as a function of temperature using equilibrium static headspace gas chromatography and the phase ratio variation method. The K WA values of the three fluorinated telomer alcohols extrapolated to 25 °C are of a similar order of magnitude (1 < log K WA < 2) and suggest that rain scavenging is not a very efficient atmospheric deposition process.
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 | 0.000 |
| 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) | 0.000 | 0.000 |
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