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Record W2073103682 · doi:10.1002/zaac.200700262

Me<sub>3</sub>Si–SeS–SiMe<sub>3</sub>: A Reagent for the Synthesis of the Mixed Sulfo‐Selenide Cluster [Cu<sub>84</sub>Se<sub>42–<i>x</i></sub>S<sub><i>x</i></sub>(PEt<sub>2</sub>Ph)<sub>24</sub>]

2007· article· en· W2073103682 on OpenAlex
Elizabeth A. Turner, Yining Huang, John F. Corrigan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueZeitschrift für anorganische und allgemeine Chemie · 2007
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChalcogenSelenideReagentSeleniumChemistryCluster (spacecraft)SulfurCrystal structureCrystallographyInorganic chemistryPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The synthesis and spectroscopic characterization of the first silylated mixed‐chalcogen reagent, Me 3 Si–SeS–SiMe 3 , is presented. This reagent is shown to be an effective and efficient delivery source of both sulfur and selenium as demonstrated in the synthesis of a [Cu 84 Se 42– x S x (PEt 2 Ph) 24 ] ( x ≈ 15) cluster. The reaction proceeds with chalcogen‐chalcogen bond cleavage and the resulting X‐ray crystal structure of [Cu 84 Se 42– x S x (PEt 2 Ph) 24 ] illustrates the intimate mixing of sulfur and selenium within the cluster core.

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.

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)0.013
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.022
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.007
Meta-epidemiology (narrow)0.0070.005
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0020.005
Science and technology studies0.0050.004
Scholarly communication0.0020.003
Open science0.0090.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0000.003

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 head0.016
GPT teacher head0.239
Teacher spread0.222 · 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