sj-jpg-1-mso-10.1177_2055217321990852 - Supplemental material for Early MRI outcomes in participants with a first clinical demyelinating event at risk of multiple sclerosis in the ORACLE-MS study
Bibliographic record
Abstract
Supplemental material, sj-jpg-1-mso-10.1177_2055217321990852 for Early MRI outcomes in participants with a first clinical demyelinating event at risk of multiple sclerosis in the ORACLE-MS study by Mark S Freedman Department of Medicine and the Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Canada, Patricia K Coyle Department of Neurology, Stony Brook University, Stony Brook, NY, USA, Giancarlo Comi Institute of Experimental Neurology, IRCCS Ospedale San Raffaele, Milan, Italy, Susan L Scarberry Sanford Health Multiple Sclerosis Center, Fargo, ND, USA, Doris Damian EMD Serono Research & Development Institute, Inc, Billerica, MA, USA, an affiliate of Merck KGaA, Darmstadt, Germany, Yann Hyvert Merck KGaA, Darmstadt, Germany, Fernando Dangond EMD Serono Research & Development Institute, Inc, Billerica, MA, USA, an affiliate of Merck KGaA, Darmstadt, Germany,Andrew Galazka, Dominic JackMerck KGaA, Darmstadt, Germany, Lori A Lebson EMD Serono, Inc, Rockland, MA, USA, an affiliate of Merck KGaA, Darmstadt, Germany, Thomas P Leist Comprehensive Multiple Sclerosis Center, Jefferson University Hospital, Philadelphia, PA, USA in Multiple Sclerosis Journal – Experimental, Translational and Clinical
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 0.000 |
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 teacher head, 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".