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Record W4416943935 · doi:10.1007/s11886-025-02307-7

Toward Providing Equitable Care for Adults with Congenital Heart Disease: Where We Are and Where We Need to Be

2025· article· en· W4416943935 on OpenAlexaff
Jeannette Lin, Ariane Marelli, Aihua Liu, Liming Guo, Jennifer DeSalvo, Danielle Hile, Mark Roeder, Jamil Aboulhosn, Curt J. Daniels

Bibliographic record

VenueCurrent Cardiology Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsMcGill University Health CentreCanadian Institutes of Health Research
Fundersnot available
KeywordsPopulationHeart diseaseTertiary careBest practicePrimary careMEDLINE

Abstract

fetched live from OpenAlex

PURPOSE OF THE REVIEW: To understand the growth of the adults with congenital heart disease (ACHD) population and ACHD work force needs in the United States, and to consider solutions to provide access for this population. RECENT FINDINGS: The ACHD population is growing rapidly and is outpacing current efforts to improve access and delivery of ACHD care. Achieving adequate access for the ACHD population will require a multipronged approach, including training more ACHD cardiologists and advanced practice providers, expanding use of telehealth, increasing collaboration between larger tertiary ACHD care centers and smaller ACHD clinics and cardiology practices, and reimagining care models and pay structures.

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 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)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.029
GPT teacher head0.311
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2025
Admission routes1
Has abstractyes

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