Primary Immune Deficiency Treatment Consortium (PIDTC) report
Bibliographic record
Abstract
The Primary Immune Deficiency Treatment Consortium (PIDTC) is a collaboration of 41 North American centers studying therapy for rare primary immune deficiency diseases (PIDs), including severe combined immune deficiency (SCID), Wiskott-Aldrich syndrome (WAS), and chronic granulomatous disease (CGD). An additional 3 European centers have partnered with the PIDTC to study CGD. Natural history protocols of the PIDTC analyze outcomes of treatment for rare PIDs in multicenter longitudinal retrospective, prospective, and cross-sectional studies. Since 2009, participating centers have enrolled more than 800 subjects on PIDTC protocols for SCID, and enrollment in the studies on WAS and CGD is underway. Four pilot projects have been funded, and 12 junior investigators have received fellowship awards. Important publications of the consortium describe the outcomes of hematopoietic cell transplantation for SCID during 2000-2009, diagnostic criteria for SCID, and the pilot project of newborn screening for SCID in the Navajo Nation. The PIDTC Annual Scientific Workshops provide an opportunity to strengthen collaborations with junior investigators, patient advocacy groups, and international colleagues. Funded by the National Institute of Allergy and Infectious Diseases and the Office of Rare Diseases Research, National Center for Advancing Translational Sciences, the PIDTC has recently received renewal for another 5 years. Here we review accomplishments of the group, projects underway, highlights of recent workshops, and challenges for the future.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".