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Additional file 1 of Comparison of gadolinium-based contrast agents for MR cholangiography in saline, blood and bile: a phantom study

2024· article· en· W6902069002 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMaterials Science
TopicLanthanide and Transition Metal Complexes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSalineSIGNAL (programming language)Imaging phantomContrast (vision)Intensity (physics)

Abstract

fetched live from OpenAlex

Additional file 1: Supplementary Figure S1. Bile phantom set up. Ox bile and contrast agents were mixed in 2 mL polypropylenetubes (bile phantom, a) and placed in a sample holder b. Supplementary Figure S2. Signal intensities of gadoterate, gadobenate, and gadoxetate in saline and biological fluids on T1-weighted SE and TFE MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (a), blood (b), and bile (c) on T1-weighted spin echo MRI. Signal intensities ofgadoterate, gadobenate, and gadoxetate at different concentrations in saline (d), blood (e), and bile (f) on T1-weighted turbo field echo MRI. *: significantly higher maximum signal intensity of the contrast agent than both other contrast agents; +: significantly higher maximum signal intensity than the contrast agent with the lowest maximum signal intensity. * or +: p < 0.05,** or ++: p < 0.01; *** or +++: p < 0.001. The data are extracted from Figure 2. Supplementary Figure S3. Signal intensities of gadoterate, gadobenate, and gadoxetate in saline and biological fluids on 3D-mFFE and mGraSE MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (a), blood (b), and bile (c) on 3D-mFFE MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (d), blood (e), and bile (f) on mGraSE MRI. The data are extracted from Figure 3. Supplementary Figure S4. Signal intensities of gadoterate, gadobenate, and gadoxetate in saline and biological fluids on STIR and eTHRIVE MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (a), blood (b), and bile (c) on STIR MRI. Signal intensities of gadoterate, gadobenate, and gadoxetateat different concentrations in saline (d), blood (e), and bile (f) on E-THRIVE MRI. The data are extracted from Figure 4. Supplementary Figure S5. Signal intensities of gadoterate, gadobenate, and gadoxetate in saline and biological fluids on T2-weighted TSE and FLAIR MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (a), blood (b), and bile (c) on T2-weighted TSE MRI. Signal intensities of gadoterate, gadobenate, and gadoxetate at different concentrations in saline (d), blood (e), and bile (f) on FLAIR MRI. The data are extracted from Figure 6. Supplementary Table S1. Summary table of main results in the comparisons of maximum signal intensities of contrast agents.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.8890.000

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 head0.052
GPT teacher head0.316
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
GenreDataset

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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