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Record W4382361915 · doi:10.1007/s10554-023-02909-8

Intraventricular 4D flow cardiovascular magnetic resonance for assessing patients with heart failure with preserved ejection fraction: a pilot study

2023· article· en· W4382361915 on OpenAlexaff
Chi Ting Kwan, On Hang Samuel Ching, Pui Min Yap, Sau Yung Fung, Hok Shing Tang, Wan Wai Vivian Tse, Cheuk Nam Felix Kwan, Yin Hay Phoebe Chow, Nga Ching Yiu, Yung Pok Lee, Jessica Wing Ka Lau, Ambrose Ho Tung Fong, Q W Ren, Mei‐Zhen Wu, Eric Yuk Fai Wan, Ka Chun Kevin Lee, Chun Yu Leung, Andrew Li, David Montero, Varut Vardhanabhuti, JoJo S. H. Hai, Chung‐Wah Siu, Hung‐Fat Tse, Valentin Zingan, Xiaoxi Zhao, Haonan Wang, Dudley J. Pennell, Raad Mohiaddin, Roxy Senior, Kai‐Hang Yiu, Ming‐Yen Ng

Bibliographic record

VenueThe International Journal of Cardiovascular Imaging · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsCircle Cardiovascular Imaging
Fundersnot available
KeywordsAsymptomaticMedicineCardiologyInternal medicineHeart failure with preserved ejection fractionStroke volumeHeart failureEjection fractionMagnetic resonance imagingReceiver operating characteristicCardiac magnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2023
Admission routes1
Has abstractno

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