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Challenges With Left Ventricular Functional Parameters: The Pediatric Heart Network Normal Echocardiogram Database
Peter C. Frommelt, L. LuAnn Minich, Felicia Trachtenberg, Karen Altmann, Joseph Camarda, Meryl S. Cohen, Steven D. Colan, Andréea Dragulescu, Michele A. Frommelt, Tiffanie R. Johnson, John P. Kovalchin, Lina Lin, Joseph Mahgerefteh, Arni Nutting, David Parra, Gail D. Pearson, Ricardo H. Pignatelli, Ritu Sachdeva, Brian D. Soriano, Christopher F. Spurney, Shubhika Srivastava, Christopher Statile, Jessica Stelter, Mario Stylianou, Poonam P. Thankavel, Elif Seda Selamet Tierney, Mary E. van der Velde, Leo Lopez, Kristin M. Burns, Jonathan R. Kaltman, Victoria L. Pemberton, Lynn Mahony, Shan Chen, Dianne Gallagher, Eric Gerstenberger, Russell Gongwer, Suzanne Granger, Julia Keosaian, Susanne Langley, Tammi Mansolf, Stephanie Moine, A. Morrison, Katelyn N. Nelson, Brenda Ni, Janet Ortiz, David Pober, Michelle Pucillo, Paul Stark, Christiana E. Toomey, Barbara Winrich, Steven Schwartz, Fraser Golding, Brian W. McCrindle, Elizabeth Radojewski, Seema Mital, Patricia Walter, Cameron Slorach, Jane W. Newburger, John K. Triedman, Ashwin Prakash, Jami C. Levine, Stephen Paridon, David Goldberg, Tonia Morrison, Andrew M. Atz, Eric M. Graham, Carolyn L. Taylor, Shahryar M. Chowdhury, Patricia Infinger, Richard V. Williams, Dongngan T. Truong, Linda M. Lambert, Marian E. Shearrow, Belva Stanton, Caren S. Goldberg, Richard G. Ohye, Suzanne Welch, James Cnota, Michelle Hamstra, Kathleen Ash, Joshua Sticka, Mark Payne, Timothy M. Cordes, Liz Stillwaggon Swan, William T. Mahle, Heather S. Friedman, Laurie J. Clark, Daniel J. Penny, David Garuba, Carolynn Altman, Marc E. Richmond, Wyman W. Lai, Rosalind Korsin, Brett R. Anderson, Hollie Carron, Salil Ginde, Michelle Otto, Larry W. Markham, Jonathan H. Soslow, Luciana Young, Elise Duffy, Kathleen Van’t Hof, Mark Lewin, Joel Lester, Aarti Bhat, Amy Payne, Irene D. Lytrivi, Helen Ko, Kelly Ann Balem, Craig Sable, Hannah Hartsig, Michael Artman, Anu Rao, Ben Eidem, G. Paul Matherne, Timothy F. Feltes, Julie Johnson, Jeffrey P. Krischer, Patrick E. McBride, John Kugler, F.J. Evans, David Driscoll, Mark Galantowicz, Sally Hunsberger, Thomas J. Knight, Holly L. Taylor
Bibliographic record
VenueJournal of the American Society of Echocardiography · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsHospital for Sick Children
FundersNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsIntraclass correlationMedicineEjection fractionReproducibilityCardiologyInternal medicineCohortLimits of agreementCorrelationDatabaseNuclear medicineHeart failureStatisticsPsychometrics
Abstract
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 imitationNot 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)0.002
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 score0.014
Threshold uncertainty score0.626
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.006 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.016
GPT teacher head0.229
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations31
Published2019
Admission routes1
Has abstractno