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Record W1969405366 · doi:10.1039/b418940j

Electronic and steric effects in fragmentation reactions of Os<sub>3</sub>(CO)<sub>9</sub>(μ-C<sub>4</sub>Ph<sub>4</sub>)

2005· article· en· W1969405366 on OpenAlexaff
Kevin A. Bunten, Consuelo Moreno, Anthony J. Poë

Bibliographic record

VenueDalton Transactions · 2005
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSteric effectsFragmentation (computing)ChemistryStereochemistry

Abstract

fetched live from OpenAlex

P-Donor nucleophiles of cone angle >or=145 degrees are known to react with Os3(CO)9(mu-C4Ph4) quite differently from those with cone angles <or=143 degrees. A detailed and systematic kinetic study of the rather slow kinetics of reactions with 11 of the larger nucleophiles is described, and the results are analysed according to standard QALE protocols. (QALE=quantitative analysis of ligand effects). The results are compared with those previously reported for 17 of the smaller phosphines, which react much more rapidly. The pronounced difference in behaviour between these two groups of nucleophiles is ascribable to major differences between the ease of formation of different intermediate Os3(CO)9L(mu-C4Ph4) adducts. The cluster is proposed to be capable of opening up to form a nido structure that has a small, well defined opening capable of accommodating any of the smaller nucleophiles quite easily. However, this opened nido structure is concluded to be extremely rigid and incapable of further opening to accommodate any of the larger nucleophiles. These have to take advantage of an alternative nido structure that contains a much larger opening but that requires considerably more energy for it to be formed. These results are compared with those for the clusters M5C(CO)15(M=Ru or Fe), which show somewhat similar behaviour. This is ascribed to the complexity of the structures of the clusters that allows them to form alternative nido structures of the sort described, something that more symmetrical clusters are apparently incapable of doing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.220
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2005
Admission routes1
Has abstractyes

Explore more

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