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Record W2962689004 · doi:10.1016/j.echo.2019.05.025

Challenges With Left Ventricular Functional Parameters: The Pediatric Heart Network Normal Echocardiogram Database

2019· article· en· W2962689004 on OpenAlexaff
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

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 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 source (direct Gemma or distilled Codex), 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

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