Predicting speciation in the multi-component equilibrium self-assembly of a metallosupramolecular complex
Bibliographic record
Abstract
A practical method to predict the speciation in a multi-component equilibrium self-assembly process has been developed and applied to the formation of the square macrocyclic complex formed from (ethylenediamine)Pd(II) and 4,4′-bipyridyl. The method is based on an additive free energy approach that derives the cumulative formation constants of all 56 species at equilibrium from a set of five pair-wise interactions. Estimates for the required values of the pair-wise interactions were derived from potentiometric titration of (ethylenediamine)Pd(II) and 3-phenylpyridine, and from (diethylenetriamine)Pd(II) and 4,4′-bipyridyl systems. The method calculates the equilibrium speciation as a function of reactant concentrations and pH and produces a map of the range of compositions in which the square complex and competing species are dominant. The predictions of the method closely correlate with available experimental data.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".