Molecular Recognition Using Ruthenium(II) Porphyrin Thiol Complexes as Probes
Bibliographic record
Abstract
In situ (1)H NMR data are reported for 106 Ru(porp)(RSH)(2) species, where porp is the dianion of β-octaethylporphyrin (OEP), meso-tetraphenylporphyrin (TPP), and its para-substituted tetraphenyl analogues (T-p-XPP; X = OMe, Me, F, Cl, CO(2)Me, CF(3)), meso-tetrakis(3,5-dimethylphenyl)porphyrin (T-m,m'-Me(2)PP), and meso-tetramesitylporphyrin (TMP), and R = Me, Et, (n)Pr, (i)Pr, (n)Bu, (t)Bu, (n)Hex, Bn (benzyl), Ph, and p-MeOC(6)H(4). The upfield shifts in the SH resonances upon coordination of the thiol reflect changes in the porphyrin ring current and are analyzed using an empirical model that depicts quantitatively the nonbonding, electronic, and steric interactions between the thiol ligands, where steric factors dominate, and the porphyrin plane, where electronic factors dominate; such interactions are typically involved in small-molecule recognition within metalloporphyrin systems. Implications of the findings to hemethiolate proteins and surface coordination chemistry are also briefly presented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".