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Record W3009424097 · doi:10.1016/j.echo.2020.01.011

Simulation of Transcatheter Atrial and Ventricular Septal Defect Device Closure Within Three-Dimensional Echocardiography–Derived Heart Models on Screen and in Virtual Reality

2020· letter· en· W3009424097 on OpenAlexafffund
Hannah H. Nam, Christian Herz, András Lassó, Simon Drouin, Adriana Posada Arrubla, Brian H. Morray, Michael L. O’Byrne, Beatriz Paniagua, Denise Joffe, Burkhard G. Mackensen, Lindsay S. Rogers, Gábor Fichtinger, Matthew A. Jolley

Bibliographic record

VenueJournal of the American Society of Echocardiography · 2020
Typeletter
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsQueen's University
FundersNational Institute of Biomedical Imaging and BioengineeringNational Heart, Lung, and Blood InstituteCanarieChildren's Hospital of Philadelphia
KeywordsMedicineCardiologyPercutaneousInternal medicineEmbolizationHeart failureHeart septal defectSurgery

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.017
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.027
GPT teacher head0.264
Teacher spread0.237 · 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 designSimulation or modeling
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

Citations20
Published2020
Admission routes2
Has abstractno

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