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Record W2956101761

Introducing Complex NMR Mixtures at the Undergraduate Level: Analysis of the Diels-Alder Reaction between Methylcyclopentadiene and Maleic Anhydride (Part I)

2019· article· en· W2956101761 on OpenAlex
O. B. Sannikov, Samuel S. Hanson, Paul Saunders, Kaitlin L. Branch, Nabyl Merbouh

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsMaleic anhydrideDiastereomerNuclear magnetic resonance spectroscopyChemistryOrganic chemistryDerivatizationFluorine-19 NMRProton NMRHigh-performance liquid chromatographyPolymer
DOInot available

Abstract

fetched live from OpenAlex

Analysis of a simple NMR spectrum is fairly easy and straight forward for undergraduate students but analyzing a fairly complex NMR can be very daunting and requires a methodical approach. This work uses the ubiquitous Diels-Alder reaction of methylcyclopentadiene and maleic anhydride to introduce students to an NMR spectrum that consist of inseparable mixtures of isomers and their analysis using advanced NMR spectroscopic techniques. This laboratory experiment further outlines the use of derivatization techniques for the separation of isomeric mixtures by preparing diastereomers and using NMR spectroscopy for their identification.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.028
GPT teacher head0.243
Teacher spread0.215 · 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