SUMMARY REPORT CIHR and MS Society of Canada Joint Invitational Meeting on
Bibliographic record
Abstract
innovation on treatments for MS. The meeting focused, in particular, on links between neurovascular issues and MS. There was a wide range of internationally-recognized participants with expertise in neurology, vascular surgery, neurosurgery, neuro- and vascular imaging, neuropathology, neuro- and cardioimmunology, basic science, and epidemiology. Participants also included federal and provincial government representatives and an individual who is living with MS. The objectives of the scientific meeting were: to review evidence, current international efforts, and knowledge gaps related to the etiology and treatment of MS, with a special emphasis on neurovascular issues including the recently proposed condition called chronic cerebrospinal venous insufficiency (CCSVI); to review past, current and proposed international clinical trials related to the diagnosis and treatment of MS; and finally, to identify clinical research priorities for CIHR and the MS Society of Canada for the diagnosis and treatment of individuals with MS. Presentations relating to the objectives were made to set the stage for the ensuing discussion. The discussions were open, animated and frank, while at the same time
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.048 | 0.010 |
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".