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Intermolecular Interactions and Structural Motifs in Crystalline Solids

2009· reference-entry· en· W2163500055 on OpenAlexaff
Lindsay S. Cahill, Gillian R. Goward

Bibliographic record

VenueEncyclopedia of Magnetic Resonance · 2009
Typereference-entry
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIntermolecular forceChemical physicsCrystallographyMaterials scienceChemistryMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

Solid-state NMR is a well-established technique for characterizing packing motifs in the solid state. The through-space dipolar couplings among nuclei can be used to probe intermolecular interactions via either cross polarization (CP) or recoupling experiments. Besides, packing of molecules in the solid state can have significant influences on the local environment, and thereby the chemical shifts of protons. Examples are given that illustrate the dramatic ring-current effects, host-guest interactions, and formations of nanostructures, and distinctions among polymorphs. In several cases, experimental results are paired with ab initio calculations of solid-state structures to provide a full interpretation of the data. Keywords: solid-state NMR; intermolecular interactions; cross polarization; dipolar couplings; ring-current effects

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.009
GPT teacher head0.271
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2009
Admission routes1
Has abstractyes

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