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Record W4383215735 · doi:10.1016/j.gim.2023.100925

Defining the clinical validity of genes reported to cause pulmonary arterial hypertension

2023· article· en· W4383215735 on OpenAlexfundno aff
Carrie L. Welch, Micheala A. Aldred, Srimmitha Balachandar, Dennis Dooijes, Christina A. Eichstaedt, Stefan Gräf, Arjan C. Houweling, Rajiv D. Machado, Divya Pandya, Matina Prapa, Memoona Shaukat, Laura Southgate, Jair Tenorio, Emily P. Callejo, Kristina Day, Daniela Macaya, Gabriel Maldonado-Velez, Wendy K. Chung, Stephen L. Archer, Kathryn Auckland, Eric D. Austin, Roberto Badagliacca, Joan-Albert Barberà, Catharina Belge, Harm Jan Bogaard, Sébastien Bonnet, Karin A. Boomars, Olivier Boucherat, Murali M. Chakinala, Robin Condliffe, Rachel L. Damico, Marion Delcroix, Ankit A. Desai, Anna Doboszyńska, C. Gregory Elliott, Mélanie Eyries, Henning Gall, Stefano Ghio, Ardeschir-Hossein Ghofrani, Ekkehard Grünig, Rizwan Hamid, Lars Harbaum, Paul M. Hassoun, Anna R. Hemnes, Katrin Hinderhofer, Luke Howard, Marc Humbert, David G. Kiely, David Langleben, Allan Lawrie, Shahin Moledina, David Montani, Nichols W. Morrell, William C. Nichols, Andrea Olschewski, Horst Olschewski, Silvia Papa, M. Pauciulo, S. Provencher, Rozenn Quarck, Christopher J. Rhodes, Laura Scelsi, Werner Seeger, Duncan J. Stewart, Andrew J. Sweatt, Emilia M. Swietlik, Carmen Treacy, Richard C. Trembath, Olga Tura-Ceide, Carmine Dario Vizza, Anton Vonk Noordegraaf, Martin R. Wilkins, Roham T. Zamanian, D. A. Zateyshchikov

Bibliographic record

VenueGenetics in Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteInstituto de Salud Carlos IIINational Institutes of HealthKarl-Franzens-Universität GrazAmsterdam Cardiovascular Sciences, Amsterdam University Medical CentersUniversitat de BarcelonaMedizinische Universität GrazFederación Española de Enfermedades RarasAmsterdam University Medical CentersKing's College LondonDiabetes UKAlberta Mennega StichtingDepartment for Business, Energy and Industrial Strategy, UK GovernmentAcademy of Medical SciencesBritish Heart FoundationNational Human Genome Research InstituteWellcome TrustOttawa Hospital Research InstituteUniversity of OttawaVrije Universiteit AmsterdamAmerican Heart Association
KeywordsGenePulmonary hypertensionMedicineInternal medicineCardiologyGeneticsBioinformaticsBiology

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)0.018
metaresearch head score (Gemma)0.099
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 score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.099
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.006
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.216
GPT teacher head0.428
Teacher spread0.212 · 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

Citations75
Published2023
Admission routes1
Has abstractno

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