Response to <scp>GPi</scp> ‐ <scp>DBS</scp> in a Case of <scp> <i>EIF2AK2</i> </scp> ‐Associated Early‐Onset Generalized Dystonia
Bibliographic record
Abstract
Ethical Compliance Statement: Informed patient consent was obtained. IRB approval was obtained through Boston Children's Hospital, Harvard Medical School (IRB-P00047069). We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. Funding Sources and Conflict of Interest: No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work. Financial Disclosures of all Authors for the Previous 12 Months: S provides consultation for Best In Class MD. SR is employed by Emory University. KY has no financial disclosures. KY is employed by Boston Children's Hospital, Harvard Medical School. DE-F provides consultation for University of Texas Southwestern, German Center for Neurodegenerative Diseases, and Guidepoint LLC. DE-F is employed by Boston Children's Hospital, Harvard Medical School. DE-F has received speaker honoraria from The Movement Disorders Society and the Taiwan Society of Child Neurology. DE-F has obtained royalties from Cambridge University Press. DE-F has grants through National Institutes of Health, National Institute of Neurological Disorders and Stroke, CureAP4 Foundation, CureSPG50 Foundation, Spastic Paraplegia Foundation, Tom Wahlig Foundation, Un raggio di Sole per Martina, Manton Center for Orphan Disease Research, BCH Office of Faculty Development, and BCH Translational Research Program and Astellas Pharmaceuticals. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".