Symposium on congenital and acquired bleeding disorders in children (in honor of the lifetime accomplishments of Dr. Victor S. Blanchette in pediatric hematology)
Bibliographic record
Abstract
This special series in Pediatric Blood & Cancer comprises a series of articles generated from a gathering of experts in the field of congenital and acquired bleeding disorders of childhood. The occasion that stimulated this collection was a celebration of the career of Dr. Victor Blanchette on May 16, 2011, at The Hospital for Sick Children in Toronto, Canada, at which each of these individuals spoke. As the reader will see, the manuscripts derived from these lectures reflect the breadth of scientific knowledge from fundamental discovery research to clinical trials and epidemiology through translation into clinical practice. Zipursky and Coppes have written a tribute to Dr. Blanchette on the occasion of his being awarded the 2012 Distinguished Career Award from the American Society of Pediatric Hematology/Oncology 1. The publication of this tribute, which highlights Victor's career and personal accomplishments, complements the work presented in this issue of the journal. In addition to all the authors whose work is included in this Special Supplement and who spoke at the Symposium held on May 16, 2011 in Toronto we also wish to thank the following individuals who assisted with moderating sessions during the Symposium and reviewed manuscripts prior to their submission: Drs. Brian Feldman, Bernadette Garvey, Paul Imbach, Marilyn Manco-Johnson and Georges Rivard; and Ms. Ann Marie Stain (RN). We are also very grateful to the following organizations/companies that provided unrestricted educational grants to allow us to undertake this special symposium: Apo-Pharm, Baxter, Bayer, Biogen, C-17 – Canadian Children's Cancer and Blood Disorders, CSL-Behring, Hospital for Sick Children (Div. of Haem/Oncology, Dept of Paediatrics, and the Hospital for Sick Children Research Institute), Novo Nordisk, Octapharma, Pfizer, and Talecris.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".