Cu(<scp>ii</scp>)-Mediated decomposition of phosphorothionate PS pesticides. Billion-fold acceleration of the methanolysis of fenitrothion promoted by a simple Cu(<scp>ii</scp>)–ligand system
Bibliographic record
Abstract
The kinetics of methanolysis of the title compound (3) were studied in the presence of Cu(2+), introduced as Cu(OTf), in the presence of 0.5-1.0 eq. of methoxide and in the presence of 1.0 eq. of a ligand such as bipyridyl (5), phenanthroline (6) or 1,5,9-triazacyclododecane (4). In all cases the active species involve Cu(2+)((-)OCH(3)). In the case of added strong-binding ligands 5 or 6, a plot of the observed rate constant for methanolysis of 3 vs. [Cu(2+)](total) gives a curved line modelled by a process having a [Cu(2+)](1/2) dependence consistent with an active monomeric species in equilibrium with an inactive dimer i.e.[LCu(2+)((-)OCH(3))](2) <==> 2LCu(2+)((-)OCH(3)). In the case of the added strong binding ligand 4, the plot of the observed rate constant for methanolysis of 3 vs.[Cu(2+)](total) gives a straight line consistent with the catalytically active species being Cu(2+)(OCH(3)) which shows no propensity to form inactive dimers. Turnover experiments where the [3] > [Cu(2+)](total) indicate that the systems are truly catalytic. In the optimum case a catalytic system comprising 1 mM of the complex 4Cu(2+)((-)OCH(3)) catalyzes the methanolysis of 3 with a t(1/2) of approximately 58 s accounting for a 1.7 x 10(9)-fold acceleration relative to the background reaction at near neutral (s)(s)pH (8.75).
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".