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Record W2944059833 · doi:10.21693/1933-088x-6.3.106a

Another Milestone for PHA Mission to Promote Awareness

2007· article· en· W2944059833 on OpenAlexaboutno aff
Ronald J. Oudiz

Bibliographic record

VenueAdvances in Pulmonary Hypertension · 2007
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMilestoneAttendancePulmonary hypertensionEditorial boardMedicinePolitical scienceLibrary scienceHistoryInternal medicineLawComputer science

Abstract

fetched live from OpenAlex

With this third issue of Advances in Pulmonary Hypertension in 2007, I must first recognize the enormous success of the Pulmonary Hypertension Resource Network Symposium held in Crystal City, Virginia this October. Attendance was a record 400+ (up from 60 in 2003), and the representation was far-reaching, with attendees and participants from Oregon to Washington, DC, and Canada to Texas. This clearly reflects the tremendous interest in this growing field and speaks to the success of PHA in its mission to promote pulmonary hypertension awareness.Associate Editor Erika Berman Rosenzweig, MD, has taken the role of Lead Editor of this issue and with Editorial Board member Kristin Highland, MD, has put together a comprehensive review of pulmonary arterial hypertension (PAH) related to congenital heart disease (CHD), with three key pieces focused on CHD. Dr Ingram Schulze-Neick provides an overview of pulmonary vascular disease in CHD, while Dr Michael Landzberg covers emerging medical therapies, and Drs Konstantinos Dimopoulos and Michael Gatzoulis teach us about how to evaluate operability in adults with CHD, as well as the role of pretreatment with targeted PAH therapy. A specialist roundtable discussion is a highlight of this issue, as it covers the practical aspects of treating patients with CHD and associated PAH. Dr Berman Rosenzweig and her contributors are to be congratulated for their efforts in producing such a wonderful issue of Advances.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.961
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.313
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreMethods

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

Citations0
Published2007
Admission routes1
Has abstractyes

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