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Record W2091488430 · doi:10.1080/17415990802146998

Probing the chemistry of rare sulfur allotropes: S<sub>9</sub>, S<sub>12</sub>and S<sub>20</sub>

2008· article· en· W2091488430 on OpenAlex
Eli Zysman‐Colman, Pierre Leste-Lassere, David N. Harpp

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.

Bibliographic record

VenueJournal of Sulfur Chemistry · 2008
Typearticle
Languageen
FieldChemistry
TopicSulfur-Based Synthesis Techniques
Canadian institutionsMcGill UniversityUniversité de Sherbrooke
Fundersnot available
KeywordsNorborneneSulfurChemistryYield (engineering)MoleculeThermal decompositionDecompositionPhotochemistryOrganic chemistryMaterials sciencePolymerizationPolymer

Abstract

fetched live from OpenAlex

Sulfur allotropes S9, S12 and S20 were prepared to examine their sulfur-transfer properties in reactions with various alkenes and dienes. All three molecules underwent decomposition and were successfully trapped. The S12 and S20 molecules delivered similar products in respectable yields. With dienes, an S2 fragment was preferentially secured with the cyclic tetrasulfide being a minor product. S20 was trapped by norbornene to give the tri- and pentasulfides in good yield. In the case of S9, yields of the trapped products were not as high as with the larger allotropes, although S9 with norbornene delivered the corresponding episulfide. Overall, these three allotropes are not as effective as S10 as sulfurating agents.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.216
Teacher spread0.201 · 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