Investigating Molybdenum and Tungsten Carbonyls as a Bridge between Elemental Chalcogens and CO: Formation of Carbonyl Sulfide and Selenium Complexes
Bibliographic record
Abstract
Carbonyl sulfide (COS) is hypothesized to play potential roles as a peptide coupling agent in prebiotic chemistry, and recent work harnessing the carbonic anhydrase-mediated COS hydrolysis for H 2 S release has led to a resurgence of interest in COS-related chemistry. Building from the importance of metal chalcogenides in bioinorganic systems and the potential of forming metal carbonyls under reducing environments, we investigated whether simple metal carbonyl compounds could be a source of COS or COSe when treated with elemental S or Se, respectively. Using the simple carbonyl compounds [TpMo(CO) 3 ] − and [TpW(CO) 3 ] −, we measured and quantified COS generation en route to [TpMo(S)(S 4 )] − and [TpW(S) 3 ] − product formation, respectively. Highlighting the different reactivity of the selenium congener, analogous reactions with gray Se did not generate COSe. We found that [TpMo(CO) 3 ] − was inert toward Se, and [TpW(CO) 3 ] − reacted with Se to form the unusual triselenide-bridged product [TpW(CO) 2 ] 2 Se 3, which was characterized by X-ray crystallography. Taken together, these results advance our understanding of the potential role of metal carbonyl compounds in the metal-mediated interconnectivity between CO and reactive sulfur and selenium species and further differentiate reactivity profiles between sulfur and selenium motifs at the inorganic centers.
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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".