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Record W4387433067 · doi:10.1183/13993003.00517-2023

Sequential multimodal therapy in chronic thromboembolic pulmonary hypertension with mixed anatomical lesions: a proof of concept

2023· letter· en· W4387433067 on OpenAlexaff
Mitja Jevnikar, Sabina Solinas, Philippe Brénot, Benoît Lechartier, Mithum Kularatne, David Montani, Laurent Savale, Carlos R. García‐Alonso, Olivier Sitbon, Antoine Beurnier, Athénaïs Boucly, Sophie Bulifon, Andrei Seferian, Anne Roche, Olaf Mercier, Gérald Simonneau, Élie Fadel, Marc Humbert, Xavier Jaïs

Bibliographic record

VenueEuropean Respiratory Journal · 2023
Typeletter
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversity of Calgary
FundersAgence Nationale de la Recherche
KeywordsChronic thromboembolic pulmonary hypertensionProof of conceptMedicineMultimodal therapyPulmonary hypertensionMedical therapyInternal medicineCardiologyComputer science

Abstract

fetched live from OpenAlex

Tweetable abstract This study is a proof of concept highlighting that sequential multimodal therapy combining medical therapy, BPA and PEA may be a safe and effective option in selected CTEPH patients with mixed anatomical lesions and high pre-operative PVRhttps://bit.ly/3rIBU3D

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0120.005

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 head0.076
GPT teacher head0.310
Teacher spread0.234 · 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 designNon-randomized trial
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

Citations17
Published2023
Admission routes1
Has abstractyes

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