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Record W4409297044 · doi:10.26685/urncst.880

NAYGN McMaster Chapter Nuclear Case Competition 2025: Alpha-Emitting Isotopes in Medicine

2025· article· en· W4409297044 on OpenAlexafffund
Arya Ebadi, Patrick Hamani, Khush Bakht Awan, M. A. Chaudhry

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsAlpha (finance)Competition (biology)Nuclear physicsPolitical sciencePhysicsBiologyLaw

Abstract

fetched live from OpenAlex

North American Young Generation in Nuclear (NAYGN) is a non-profit organization founded in 1999 that is dedicated to empowering the next generation of nuclear professionals. The NAYGN McMaster, a student led chapter of the organization at McMaster University, organized this case competition to provide undergraduate students with the opportunity to engage in problem-based learning while tackling current issues in the nuclear industry. This competition fosters collaboration, thoughtful discussion, and innovation, while also offering participants the chance to grow personally and professionally. This year’s theme was “alpha-emitting isotopes in medicine.” Teams were tasked with identifying and describing the full production cycle of a specific alpha-emitting isotope, other than Actinium-225, including its sourcing, production methods, applications in medicine, and any associated challenges or innovations in the process. After a round of written submissions, the top eight teams presented their research to a panel of judges at the NAYGN Nuclear Case Competition Expo. The judges selected the top four teams, whose abstracts have been published in this abstract booklet. If you would like to learn more about NAYGN McMaster Chapter or the NAYGN Nuclear Case Competition, please visit our Instagram page (@naygn_mcmaster) or email us (naygn@mcmaster.ca). Disclaimer: The views expressed throughout this case competition and publication are solely those of the competition participants and do not reflect those of NAYGN McMaster, McMaster University, or any other organization.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.048
GPT teacher head0.412
Teacher spread0.364 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes2
Has abstractyes

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