Compilation, Evaluation, and Selection of Physical−Chemical Property Data for Organochlorine Pesticides
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
Accurate physical−chemical properties (aqueous solubility S W, octanol−water partition coefficient K OW, vapor pressure P, Henry's law constant H, octanol−air partition coefficient K OA, octanol solubility S O ) and their temperature dependence are of fundamental importance for interpreting and simulating the environmental fate and transport of organochlorine pesticides (OCPs). A complete set of property data for 14 organochlorine chemicals is derived by evaluating, averaging, and regressing all measured values reported in the literature. The 14 chemicals are hexachlorobenzene (HCB), pentachlorobenzene (PeCB), cis -chlordane, trans -chlordane, 1,1,1-trichloro-2,2-bis-4-chlorophenyl-ethane ( p, p ‘-DDT) and its metabolites 1,1-dichloro-2,2-bis-4-chlorophenyl-ethene ( p, p ‘-DDE) and 1,1-dichloro-2,2-bis-4-chlorophenyl-ethylene ( p, p ‘-DDD), heptachlor and its metabolite heptachlor epoxide, aldrin, dieldrin, endrin, α-endosulfan, and β-endosulfan. Properties for each individual chemical are adjusted to ensure thermodynamic consistency. That adjustment is sized according to, and is usually smaller than, the measurement uncertainty. Internal energies of phase transfer Δ U could be derived only for HCB and PeCB. The lack of property measurements as a function of temperature for the other chemicals prevents their Δ U values from being derived.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 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