Determination of Octanol−Air Partition Coefficient (<i>K</i><sub>OA</sub>) Values for Chlorobenzenes and Polychlorinated Naphthalenes from Gas Chromatographic Retention Times
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
Isothermal capacity factors k on three gas chromatographic columns of different polarity were determined for chlorobenzenes (CBzs) and polychlorinated naphthalenes (PCNs). All possible multiple linear regressions of the logarithm of these capacity factors with previously reported temperature-dependent octanol−air partition coefficient ( K OA ) values of selected CBzs and PCN congeners were performed to derive predictive relationships for the remaining congeners. A comparative evaluation of the regression coefficients and the standard error of the predicted K OA values revealed that regressions with the capacity factor on a single nonpolar column (DB-5ms) yielded the best results for both CBzs and PCNs. Using the best regression equations, K OA values for 6 CBzs and 27 PCNs were obtained for the temperature range from 10 °C to 50 °C. The internal energies of air−octanol phase transfer Δ OA U for these chemicals were calculated by correlating the interpolated log K OA values with reciprocal absolute temperature.
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 | 0.001 |
| 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