Chemical toxicity correlations for several protozoas, bacteria, and water fleas based on the Abraham solvation parameter model
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
Chemical toxicity data for three species of water fleas (Daphnia magna, Ceriodaphnia dubia, and Daphnia pulex), two protozoas (Tetrahymena pyriformis and Spirostomum ambiguum), and one bacterium (Pseudomonas putida) were retrieved from the published chemical literature. The compiled data were correlated with the Abraham solvation parameter model. Derived mathematical correlations described the observed published toxicity data to within an overall average standard deviation of approximately 0.27 log units. Principal component analysis of the correlation equations showed that the water–octanol system is a poor model for nonspecific aquatic toxicity, but that the water–isobutanol and water–pentanol systems are much better models.Key words: aquatic toxicities, median lethal molar concentration, polar narcosis, nonpolar narcosis, mathematical correlation, solvation parameter model, principal component analysis.
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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 | 0.000 |
| 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