Bibliographic record
Abstract
The field of pediatric-onset multiple sclerosis (MS) and other demyelinating diseases in childhood has advanced considerably since the publication of the last International Pediatric Multiple Sclerosis Study Group (IPMSSG)–sponsored Neurology ® supplement in 2007. Over the last decade, demyelinating diseases of the CNS in children, and MS in particular, have garnered considerable international focus, both in the clinical and research world but also in the lay press and public awareness. This coming of age resulted in an exponential increase in research efforts and publications, with more than 250 peer-reviewed publications on pediatric MS in the past 10 years. It has also crystallized national and international collaborations that are critical to transform the field. Contributors: IPMSSG Steering Committee Members: Maria Pia Amato: Department NEUROFARBA, Section Neurosciences, University of Florence, Italy; Brenda Banwell: The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Angelo Ghezzi, Divisione di Neurologia 2–Centro Studi Sclerosi Multipla, Ospedale di Gallarate, Gallarate, Italy; Rogier Q. Hintzen: Department of Neurology, MS Centre ErasMS, Neurology, Erasmus MC, Rotterdam, the Netherlands; Lauren B. Krupp: Lourie Center for Pediatric MS, Stony Brook Children's Hospital, Stony Brook University, New York; Kevin Rostásy: Department of Pediatric Neurology, Children's Hospital Datteln, University Witten/Herdecke, Germany; Silvia Tenembaum: Department of Neurology, National Pediatric Hospital Dr. Juan P. Garrahan. Ciudad de Buenos Aires, Argentina; Evangeline Wassmer: Department of Neurology, Birmingham Children's Hospital, UK; Emmanuelle Waubant: Pediatric MS Center, UCSF Benioff Children's Hospital, and Neurology Department, UCSF, San Francisco, CA. IPMSSG Coordinating Consultant: Jon Temme.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.017 |
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".