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Record W2130030280 · doi:10.1093/ehjci/jeu151

Searching for markers of the right heart-pulmonary circulation unit function: a continuing challenge

2014· editorial· en· W2130030280 on OpenAlexaff
Eduardo Bossone, Lawrence Rudski, Ekkehard Grünig

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2014
Typeeditorial
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsCardiologyInternal medicineInterventricular septumRight heartMedicineStrain (injury)Pulmonary hypertensionCardiorespiratory fitnessPathophysiologyPopulationCirculation (fluid dynamics)Ventricle

Abstract

fetched live from OpenAlex

The pathophysiological state of the right heart-pulmonary circulation unit (RH-PCU) represents a major prognostic determinant of cardiorespiratory diseases.1–2 Over the years, several investigators have studied multiple markers of mild to severely impaired RH-PCU and the related clinical symptoms, findings, and outcomes ( Table 1 ).1–3 Most recently, measures of right ventricular (RV) strain by two-dimensional (2D) speckle tracking has been used to measure RV systolic function and has been applied to a pulmonary hypertension population.4 This latter parameter may look at only the free wall, or may include the interventricular septum, with the term ‘global RV strain’. The problem with 2D strain as well as most of the echocardiographic …

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 distilled prediction

Teacher imitation

Not 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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.285
Teacher spread0.260 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations4
Published2014
Admission routes1
Has abstractyes

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