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Record W4389485499 · doi:10.1002/cphc.202300829

Front Cover: Cucurbit[6]uril Hyperpolarized Chemical Exchange Saturation Transfer Pulse Sequence Parameter Optimization and Detectability Limit Assessment at 3.0T (ChemPhysChem 23/2023)

2023· paratext· en· W4389485499 on OpenAlexaff
Vira Grynko, Yurii Shepelytskyi, Viktoriia Batarchuk, Hannah Aalto, Tao Li, Iulian C. Ruset, Brenton DeBoef, Mitchell S. Albert

Bibliographic record

VenueChemPhysChem · 2023
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectron Spin Resonance Studies
Canadian institutionsNOSM UniversityLakehead UniversityThunder Bay Regional Research Institute
Fundersnot available
KeywordsFront coverSaturation (graph theory)ChemistryMoleculePulse sequenceCover (algebra)Pulse (music)MaximizationLimit (mathematics)DepolarizationChemical physicsNuclear magnetic resonancePhysicsBiophysicsVoltageQuantum mechanicsOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

The Front Cover illustrates the Hyperpolarized chemical exchange transfer (HyperCEST) of hyperpolarized 129Xe and cucurbit[6]uril molecules in a blood vessel. The polarized 129Xe gets depolarized inside the cucurbit[6]uril using a depolarization radio-frequency pulse. The performance of this process was optimized in the present work achieving the maximization of the HyperCEST effect. Dr. Yurii Shepelytskyi and Vira Grynko illustrated the cover design. More information can be found in the Research Article by Mitchell S. Albert and co-workers.

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), Research integrity
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 score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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