Bibliographic record
Abstract
Multiple Sclerosis Natural history: The London, Ontario database The Lyon database Genetic Aspects Pathology: Heterogeneity of pathology Gray vs. White matter disease-Proposed author: Bruce Trapp. 30 manuscript pages including tables and references 5 photos/diagrams Biology of MS: This section will discuss the current knowledge regarding the function of oligodendrocytes, their derivision from precursor cells, their properties (mostly from in vitro studies) and the potential for regeneration. Additionally, some studies are examining the genes that govern their differentiation, growth and function, . The Biology of Oligodendrocytes-Proposed author: Jack Antel. 30 manuscript pages including tables and references 3 photos/diagrams Molecular Aspects of Oligodendrocytes-Proposed author: Alan Peterson. 30 manuscript pages including tables and references 3 photos/diagrams Pathophysiology This section will examine the contributions from animal models that has led to proven concepts in the human disease and some of the proposed autoimmune mechanisms believed to play a role and are amenable to treatment. Animal models-Proposed author: Moses Rodriguez. 30 manuscript pages including tables and references 4 photos/diagrams Human Immune Studies-Proposed author: Amit Bar-Or. 30 manuscript pages including tables and references 4 photos/diagrams Diagnosis and Differential Diagnosis There are now accepted criteria that involve clinical, MRI and cerebrospinal fluid (CSF) analysis to define 'definite' vs. 'possible' MS. The section on MS Mimics will address the number of conditions that could look like MS and even fulfill the criteria but need to therefore be differentiated. The Clinical Diagnosis of MS-Proposed author: Ian MacDonald and Alan Thompson. 40 manuscript pages including tables and references 5 photos/diagrams The Role of MRI in the Diagnosis of MS-Proposed authors: Tony Traboulsee and Don Paty. 40 manuscript pages including tables and references 5 photos/diagrams The Role of CSF-Proposed authors: Ed Thompson and Mark Freedman. 40 manuscript pages including tables and references 5 photos/diagrams MS Mimics-Proposed author: Patricia Coyle. 40 manuscript pages including tables and references 5 photos/diagrams The Role of MRI A separate volume alone could be devoted to this topic, so the salient features only will be sought from the almost two decades of research put into this area. Newer areas in development that allow for better visualization of myelin vs. axonal elements, gray matter disease and atrophy will all be addressed. The Natural History of MS MRI-Proposed author: David Miller. 20 manuscript pages including tables and references 8 photos/diagrams Cranial MRI-Proposed author: Massimo Fillippi and Giancarlo Comi. 20 manuscript pages including tables and references 8 photos/diagrams Spinal cord MRI-Proposed author: Fred Barkhof and Geert Lycklama. 20 manuscript pages including tables and references 8 photos/diagrams MR Spectroscopy and fMRI-Proposed author: Douglas Arnold. 20 manuscript pages including tables and references 8 photos/diagrams
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.023 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.124 | 0.038 |
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".