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Record W7140764645 · doi:10.1333/s00897112399a

Microscale Catalytic and Chemoselective TPAP Oxidation of Geraniol

2011· article· en· W7140764645 on OpenAlex
Katherine J. Koroluk, Stanislaw Skonieczny, Andrew P. Dicks

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

VenueThe Chemical Educator · 2011
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeraniolCatalysisAutocatalysisAlcoholMicroscale chemistrySubstrate (aquarium)Reactivity (psychology)Alcohol oxidation

Abstract

fetched live from OpenAlex

The mild, room-temperature oxidation of a primary alcohol catalyzed by tetrapropylammonium perruthenate (TPAP) is presented for the undergraduate organic laboratory. In this experiment, geraniol is oxidized to form geranial, a liquid product that is easily characterized via IR and proton NMR spectroscopy. Both substrate and product have very distinct and pleasant odours, so their respective reactivity and formation generates class interest. Comparison between this synthesis and other alcohol oxidation procedures affords discussion of catalytic behaviour apparent in the former method. Although catalysis is favourable in terms of green chemistry, certain improvements can be made from a sustainability perspective, which is an important focal point for student discourse. The reaction also provides an opportunity to perform a reaction under dry conditions, and to investigate a detailed autocatalytic mechanism of TPAP oxidation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.248
Teacher spread0.223 · 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