MISA Case Competition 2024
Bibliographic record
Abstract
The MISA Case Competition is an undergraduate research conference organized by the Microbiology and Immunology Student Association (MISA) at Western University to promote innovation, collaboration, and scientific inquiry amongst students interested in microbiology and immunology. In 2023, MISA successfully ran our first case competition. This year, the theme for the MISA Case Competition 2024 was for our undergraduate teams to devise novel strategies and treatments to combat or prevent autoimmune disorders. Their approach could target any aspect of autoimmune diseases, whether it be through novel preventative initiatives, diagnostic techniques, or treatment strategies. Our conference includes oral presentations from the top six teams and a panel of judges composed of faculty members from the Department of Microbiology and Immunology and the Department of Biochemistry at Western University, with awards for the top three teams. Through the MISA Case Competition, we hope to provide an opportunity for students to conceive new ideas to advance the understanding and management of autoimmune diseases, improving patient outcomes and reducing the societal burden of these conditions.
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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 | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.013 | 0.008 |
| Insufficient payload (model declined to judge) | 0.304 | 0.125 |
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".