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Record W2145214440 · doi:10.1039/c4cc01251h

Mn<sup>II</sup>-containing coordination nanoparticles as highly efficient T<sub>1</sub> contrast agents for magnetic resonance imaging

2014· article· en· W2145214440 on OpenAlex
Gabriella Paul, Yoann Prado, Nada Dia, Éric Rivière, Sophie Laurent, Mathieu Roch, Luce Vander Elst, Robert N. Muller, Lucie Sancey, Pascal Perriat, Olivier Tillement, Talal Mallah, Laure Catala

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

VenueChemical Communications · 2014
Typearticle
Languageen
FieldMaterials Science
TopicLanthanide and Transition Metal Complexes
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsNanoparticleMagnetic resonance imagingContrast (vision)Nuclear magnetic resonanceResonance (particle physics)Materials scienceChemistryNanotechnologyCrystallographyPhysicsAtomic physicsOpticsMedicineRadiology

Abstract

fetched live from OpenAlex

Large longitudinal relaxivities were observed in Mn(II)-containing Prussian blue analogue nanoparticles. At low concentrations and high field (7 T), a remarkable positive contrast enhancement was seen which exceeded that of clinical contrast agents and was attributed to the very large proportion of surface atoms of these coordination nanoparticles.

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)0.001
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 score0.039
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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