MétaCan
Menu
Back to cohort
Record W2043872854 · doi:10.1021/cg070291o

The Structure of Two Anhydrous Polymorphs of Caffeine from Single-Crystal Diffraction and Ultrahigh-Field Solid-State <sup>13</sup>C NMR Spectroscopy

2007· article· en· W2043872854 on OpenAlexafffund
G.D. Enright, Victor V. Terskikh, Darren H. Brouwer, John A. Ripmeester

Bibliographic record

VenueCrystal Growth & Design · 2007
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsNational Research Council CanadaSteacie Institute for Molecular Sciences
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnhydrousCrystallographyChemistryDiffractionNuclear magnetic resonance spectroscopyCrystal structureSingle crystalNMR spectra databaseSpectroscopyNuclear magnetic resonance crystallographySolid-state nuclear magnetic resonanceCrystal (programming language)Powder diffractionX-ray crystallographySpectral lineStereochemistryNuclear magnetic resonanceFluorine-19 NMROrganic chemistryPhysics

Abstract

fetched live from OpenAlex

In this work, we examine two anhydrous polymorphs of caffeine, as well as the monohydrate, by high-field (21 T) NMR spectroscopy, and since suitable single crystals of the anhydrous forms could be obtained, the crystal structures were also determined. At high field, the 13 C NMR spectra are simplified considerably over those obtained at low field as the effect of the 14 N nuclear quadrupoles on the 13 C resonances becomes minimal. The spectra of the two anhydrous polymorphs provide information about the number of distinct caffeine sites and indicate structural disorder. The NMR observations are consistent with single-crystal X-ray diffraction, which shows that the structures are indeed complicated by disorder. Furthermore, the space groups obtained previously from powder diffraction were, in fact, incorrect, R 3̄ c rather than R 3 c for the low-temperature polymorph and C 2/ c rather than Cc for the high-temperature polymorph. As a result, the structures are different from those proposed on the basis of modeling calculations.

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 score0.004

Distilled classifier scores by category (both heads)

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 head0.010
GPT teacher head0.260
Teacher spread0.249 · 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

Citations103
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCrystal Growth & DesignSame topicAdvanced NMR Techniques and ApplicationsFrench-language works237,207