Highlights From PHA's 10th International Conference and Scientific Sessions 2012
Bibliographic record
Abstract
This past summer, medical experts, patients, and their caregivers came together at the PHA's 10th International Conference and Scientifi Sessions to learn about advances in the diagnosis and management of pulmonary hypertension. At the PHA conference, there is “something for everyone” and the scientifi sessions are always highly attended as investigators provide their latest updates in the fiel of pulmonary vascular disease. This year, Todd Bull, MD, along with his scientifi sessions committee, built these sessions around the theme of the genetics of pulmonary hypertension. As Guest Editor, Karen Fagan, MD, then tracked down many of the scientifi session conference speakers and asked them to summarize their lectures in this edition of Advances. Authors cover topics ranging from genetic mechanisms of disease to the future of basic science research in the current funding climate and under the NHLBI strategic plan for lung vascular research. In this issue, John Newman, MD, describes a phased approach at his institution for studying genetic mechanisms of PAH with a current focus on investigating other intracellular pathways that may influenc the development of pulmonary hypertension. In conjunction with the science, Ghazwan Butrous, MD, provides a look at the global impact of pulmonary vascular disease with a call to action for attention to this problem in developing countries.For those who missed the conference, this issue of Advances in Pulmonary Hypertension offers an opportunity to catch up on the latest science. In addition to these topics, current and past issues of Advances can also be found online on PHA's Online University along with other coverage of the amazing conference. Just go to www.phassociation.org for a wealth of information for you and your patients.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.110 | 0.048 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".