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Record W4400726749 · doi:10.26685/urncst.654

MISA Case Competition 2024

2024· article· en· W4400726749 on OpenAlexaff
Jackie Ve, Deepshikha Deepshikha, Hiba Attar, Srishti Khadilkar

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsCompetition (biology)BusinessBiologyEcology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.405
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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