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Record W1980760599 · doi:10.1021/ja000697o

The Chemistry of Solvated Distonic Ions:  Preparation, Isomerization, and Fragmentation

2000· article· en· W1980760599 on OpenAlexaff
Ya‐Ping Tu

Bibliographic record

VenueJournal of the American Chemical Society · 2000
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChemistryIsomerizationMethanolDimerIonPhotochemistryMoleculeFragmentation (computing)AlcoholRadical ionDissociation (chemistry)Solvated electronEthanolInorganic chemistryCatalysisOrganic chemistryRadical

Abstract

fetched live from OpenAlex

It has been shown that solvated distonic ions can be prepared by selected collision-induced radical removal from the proton-bound dimer of appropriate molecules. The α - and β -distonic ethanol ions solvated by methanol or ethanol, [CH 3 • CHOH 2 + /ROH] and [ • CH 2 CH 2 OH 2 + /ROH] (ROH = CH 3 OH and C 2 H 5 OH), have been prepared by selected loss of a designated radical from the proton-bound dimer of labeled alcohols, and their reactions studied in the metastable ion time frame. It is found that isomerization of the α -distonic ion to its conventional structure can be catalyzed by both methanol and ethanol, such that the energy barrier to this process is reduced to 25 ± 2 kcal mol - 1, lower than that in the uncatalyzed reaction by 10 kcal mo1 - 1 . The β -distonic ions do not isomerize to either the α -form or the conventional form when solvated by the alcohol molecule, and their fragmentation is dominated by water loss, similar to the isolated ion.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.255
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2000
Admission routes1
Has abstractyes

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