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Record W4413279726 · doi:10.52294/001c.142427

Proceedings of the OHBM Open Science Room 2024

2025· article· en· W4413279726 on OpenAlexafffund
Selma Lugtmeijer, Ju‐Chi Yu, Xiang-Zhen Kong, Pierre Bellec, Janine Bijsterbosch, Elizabeth DuPré, Oscar Estéban, Ibrahima Faye, Seok‐Jun Hong, Hu Chuan-Peng, Shella Keilholz, Chun‐Chia Kung, Daniel S. Margulies, Cyril Pernet, Franco Pestilli, Jean‐Baptiste Poline, Pradeep Reddy Raamana, Francesco Santini, Won Mok Shim, Paul M. Thompson, Chao‐Gan Yan, Niall W. Duncan, Nikhil Bhagwat, P. Mickle Fox, Ana E. Van Gulick, David N. Kennedy, Gorana Pobric, Neda Sadeghi, Nicholas E. Souter, Sandeep Panta, Isabelle F. van der Velpen, Tonya White, Sina Mansour L., Qing Wang, Povilas Karvelis, Anibal Sólon Heinsfeld, Yufang Yang, Hong Ji Kim, Nur Shahidatul Nabila Ibrahim, Stefano Moia, Wei Zhang, Rose-Marie Kouwenhoven, T. Lee, Hurshitha Vasudevan, Yuping Yang, Subapriya Suppiah, Y. T. Lee, Nils Muhlert

Bibliographic record

VenueAperture Neuro · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsMcGill UniversityUniversité de MontréalCentre for Addiction and Mental Health
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaNational Science and Technology CouncilMinistry of Science and ICT, South KoreaInstitute for Basic ScienceNovo NordiskNational Research Foundation of KoreaAcademia SinicaNovo Nordisk FondenNational Natural Science Foundation of ChinaCanadian Institutes of Health ResearchGuarantors of BrainNational Science FoundationZhejiang UniversityNational Research FoundationCentre for Addiction and Mental HealthWashington University in St. Louis
KeywordsEngineering physicsEngineering

Abstract

fetched live from OpenAlex

The Organisation for Human Brain Mapping (OHBM) Open Science Room (OSR) is one of two principal events coordinated by the Open Science Special Interest Group (OSSIG). While the OHBM Brainhack occurs before the main OHBM conference, the OSR runs concurrently with the main program, offering a varied schedule parallel to other sessions. The OSR focuses on the opportunities, advancements, and challenges presented by open science to the neuroscience community. Sessions in the OSR emphasize interactive discussions aimed at advancing neuroscience research through open science practices. This report summarizes the events that took place in the OSR during the OHBM conference in June 2024, in Seoul, Korea.

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)0.005
metaresearch head score (Gemma)0.055
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0090.006
Research integrity0.0000.000
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 head0.066
GPT teacher head0.380
Teacher spread0.314 · 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 designNot applicable
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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