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Record W4408574575 · doi:10.26685/urncst.811

Richard E. Peter 16th Annual Biology Conference (2025)

2025· article· en· W4408574575 on OpenAlexaffabout
Lisa R. MacLeod, Lucas Iwamoto, Megan LaRocque, Carina Lopez

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEnvironmental ethicsHistoryBiologyPhilosophy

Abstract

fetched live from OpenAlex

The Richard E. Peter 16th Annual Biology Conference is organized by the Biology Graduate Student’s Association at the University of Alberta. This event is a multi-day, interdisciplinary, student run conference that showcases research conducted by graduate and senior undergraduate students in the biological sciences. In alignment with the conference theme, "Sustainability," presentations explore innovative research that addresses environmental challenges and conservation, as well as fosters sustainable practices. This conference serves as a platform for students to present their findings in various fields, including Molecular Biology and Genetics, Paleontology, Microbiology, Plant Biology, Physiology and Development, Marine Biology, Immunology and Infection, Entomology, and Health Sciences. For more information, visit the conference website https://repeterconference.weebly.com/.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.326
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3260.217

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 head0.158
GPT teacher head0.530
Teacher spread0.372 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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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