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Record W2806930505 · doi:10.1152/ajplung.00150.2018

A pro-con debate: current controversies in PAH pathogenesis at the American Thoracic Society International Conference in 2017

2018· review· en· W2806930505 on OpenAlexafffund
Wolfgang M. Kuebler, Mark R. Nicolls, Andrea Olschewski, Kohtaro Abe, Marlene Rabinovitch, Duncan J. Stewart, Stephen Y. Chan, Nicholas W. Morrell, Stephen L. Archer, Edda Spiekerkoetter

Bibliographic record

VenueAmerican Journal of Physiology-Lung Cellular and Molecular Physiology · 2018
Typereview
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsQueen's UniversityOttawa HospitalUniversity of TorontoSt. Michael's Hospital
FundersNational Center for Advancing Translational SciencesJapan Society for the Promotion of ScienceMedical Research CouncilNational Health Insurance AdministrationDeutsches Zentrum für LungenforschungAustrian Science FundDeutsche ForschungsgemeinschaftBritish Heart FoundationOesterreichische NationalbankPulmonary Hypertension AssociationCanadian Vascular NetworkCanadian Institutes of Health ResearchAmerican Heart AssociationOeAD-GmbHU.S. Department of DefenseDeutsches Zentrum für Herz-KreislaufforschungNational Heart, Lung, and Blood InstituteHeart and Stroke Foundation of Canada
KeywordsPathogenesisPolitical scienceMedicineImmunology

Abstract

fetched live from OpenAlex

The following review summarizes the pro-con debate about current controversies regarding the pathogenesis of pulmonary arterial hypertension (PAH) that took place at the American Thoracic Society Conference in May 2017. Leaders in the field of PAH research discussed the importance of the immune system, the role of hemodynamic stress and endothelial apoptosis, as well as bone morphogenetic protein receptor-2 signaling in PAH pathogenesis. Whereas this summary does not intend to resolve obvious conflicts in opinion, we hope that the presented arguments entice further discussions and draw a new generation of enthusiastic researchers into this vibrant field of science to bridge existing gaps for a better understanding and therapy of this fatal disease.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.039
GPT teacher head0.370
Teacher spread0.331 · 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
GenreReview

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

Citations18
Published2018
Admission routes2
Has abstractyes

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Same venueAmerican Journal of Physiology-Lung Cellular and Molecular PhysiologySame topicPulmonary Hypertension Research and TreatmentsFrench-language works237,207