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Record W4392148978 · doi:10.52294/001c.92760

Proceedings of the OHBM Brainhack 2022

2024· article· en· W4392148978 on OpenAlexaff
Stefano Moia, Hao-Ting Wang, Anibal Sólon Heinsfeld, Dorota Jarecka, Yufang Yang, Stephan Heunis, Michele Svanera, Benjamin De Leener, Andrea Gondová, Sin Kim, Arshitha Basavaraj, Johanna Bayer, Roza G. Bayrak, Pierre‐Louis Bazin, Isil Poyraz Bilgin, Steffen Bollmann, Daniel Borek, Valentina Borghesani, Trang Ngoc Cao, Gang Chen, Alejandro de la Vega, Sebastian Dresbach, Philipp Ehses, Jan Ernsting, Inês Esteves, Oscar Ferrante, Kelly Garner, Rémi Gau, Élodie Germani, Tara Ghafari, Satrajit Ghosh, Sarah E. Goodale, Cassandra Gould van Praag, Samuel Guay, Ömer Faruk Gülban, Yaroslav O. Halchenko, Michael Hanke, Peer Herholz, Katja Heuer, Felix Hoffstaedter, Ruoqi Huang, Laurentius Huber, Ole Jensen, Kan Keeratimahat, Julian Q. Kosciessa, Sladjana Lukic, Neville Magielse, Christopher J. Markiewicz, Caroline G. Martin, Camille Maumet, Anna Menacher, Jeff Mentch, Christian Mönch, Shammi More, Leonardo Muller-Rodriguez, Samuel A. Nastase, Eliana Nicolaisen‐Sobesky, Dylan M. Nielson, Christopher Nolan, François Paugam, Pedro Pinheiro‐Chagas, Ana Lúısa Pinho, Alessandra Pizzuti, Benjamin Poldrack, Benedikt A. Poser, Roberta Rocca, Jacob Sanz-Robinson, Kelvin Sarink, Kevin R. Sitek, Nadine Spychala, Rüdiger Stirnberg, Michał Szczepanik, Mohammad Torabi, Roberto Toro, Sebastian Urchs, Sofie L. Valk, Adina Wagner, Laura K. Waite, Alexander Q. Waite, Lea Waller, Tyler J. Wishard, Jianxiao Wu, Yuchen Zhou, Janine Bijsterbosch

Bibliographic record

VenueAperture Neuro · 2024
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsMcGill UniversityMila - Quebec Artificial Intelligence InstituteUniversity of TorontoMontreal Neurological Institute and HospitalUniversité de MontréalWestern UniversityPolytechnique MontréalCentre Hospitalier Universitaire Sainte-JustineCanada Research ChairsInstitut Universitaire de Gériatrie de Montréal
FundersBerlin Institute of HealthUniversiteit Maastricht
KeywordsGlobeQueen (butterfly)Event (particle physics)TelecommunicationsEngineeringHistoryPsychology

Abstract

fetched live from OpenAlex

OHBM Brainhack 2022 took place in June 2022. The first hybrid OHBM hackathon, it had an in-person component taking place in Glasgow and three hubs around the globe to improve inclusivity and fit as many timezones as possible. In the buzzing setting of the Queen Margaret Union and of the virtual platform, 23 projects were presented after development. Following are the reports of 14 of those, as well as a recapitulation of the organisation of the event.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.169
Teacher spread0.166 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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