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Record W1993450982 · doi:10.1186/1532-429x-16-s1-p338

Aberrant myocardial sheetlet mobility in hypertrophic cardiomyopathy detected using in vivo cardiovascular magnetic resonance diffusion tensor imaging

2014· article· en· W1993450982 on OpenAlexaboutno aff
Pedro Ferreira, Philip J. Kilner, Laura‐Ann McGill, Sònia Nielles‐Vallespin, Andrew D. Scott, Bruce Spottiswoode, Xiaodong Zhong, Siew Yen Ho, Karen McCarthy, Tevfik F. Ismail, Peter Gatehouse, Ranil de Silva, Alexander R. Lyon, Sanjay Prasad, David Firmin, Dudley J. Pennell

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2014
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsnot available
FundersImperial College London
KeywordsHypertrophic cardiomyopathyMedicineDiffusion MRIMagnetic resonance imagingAngiologyFractional anisotropyInternal medicineCardiologyNuclear magnetic resonanceRadiologyPhysics

Abstract

fetched live from OpenAlex

Aberrant myocardial sheetlet mobility in hypertrophic cardiomyopathy detected using in vivo cardiovascular magnetic resonance diffusion tensor imaging Pedro Ferreira, Philip J Kilner, Laura-Ann McGill, Sonia Nielles-Vallespin, Andrew D Scott, Bruce S Spottiswoode, Xiaodong Zhong, Siew Y Ho, Karen McCarthy, Tevfik Ismail, Peter Gatehouse, Ranil Silva, Alexander Lyon, Sanjay K Prasad, David Firmin, Dudley J Pennell

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.259
Teacher spread0.238 · 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 designOther design
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

Citations6
Published2014
Admission routes1
Has abstractyes

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