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Proceedings of the OHBM Brainhack 2021

2023· article· en· W4323310328 on OpenAlexaff
Aki Nikolaidis, Matteo Manchini, Tibor Auer, Katherine L. Bottenhorn, Eva Alonso‐Ortiz, Gabriel González‐Escamilla, Sofie L. Valk, Tristan Glatard, Melvin Selim Atay, Johanna Bayer, Janine Bijsterbosch, Johannes Algermissen, Natacha Beck, Patrick Bermudez, Isil Poyraz Bilgin, Steffen Bollmann, Claire Bradley, Megan E. J. Campbell, B. Caron, Oren Civier, Luís Pedro Coelho, Shady El Damaty, Samir Das, Mathieu Dugré, Eric Earl, Stefanie Evas, Nastassja Lopes Fischer, De Fu Yap, Kelly Garner, Rémi Gau, Giorgio Ganis, Dylan Gomes, Martin Grignard, Samuel Guay, Ömer Faruk Gülban, Sarah Hamburg, Yaroslav O. Halchenko, Valérie Hayot‐Sasson, Dawn Liu Holford, Laurentius Huber, Manuel Illanes, Tom Johnstone, Avinash Kalyani, Kinshuk Kashyap, Han Ke, Ibrahim Khormi, Gregory Kiar, Vanja Ković, Tristan Kuehn, Achintya Kumar, Xavier Lecours-Boucher, Michael Lührs, Robert Luke, Cécile Madjar, Sina Mansour L., Chris Markeweicz, Paula Andrea Martinez, Alexandra McCarroll, Léa Michel, Stefano Moia, Aswin Narayanan, Guiomar Niso, Emmet A. O’Brien, Kendra Oudyk, François Paugam, Yuri G. Pavlov, Jean‐Baptiste Poline, Benedikt A. Poser, Céline Provins, Pradeep Reddy Raamana, Pierre Rioux, David Romero-Bascones, Ekansh Sareen, Antonio Schettino, Alec Shaw, Thomas B. Shaw, Cooper Smout, Anđdela Šoškié, Jessica Stone, Suzy J Styles, Ryan P. Sullivan, Naoyuki Sunami, Shamala Sundaray, Jasmine Wei Rou, Dao Thanh Thuy, Sébastien Tourbier, Sebastián Urch, Alejandro de la Vega, Niruhan Viswarupan, Adina Wagner, Lennart Walger, Hao-Ting Wang, Fei Ting Woon, David White, Christopher J. Wiggins, Will Woods, Yufang Yang, Ksenia Zaytseva, Judy D. Zhu, Marcel P. Zwiers

Bibliographic record

VenueAperture Neuro · 2023
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsWestern UniversityMontreal Neurological Institute and HospitalMcGill UniversityUniversité de MontréalConcordia University
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

The purpose of Aperture is to enable a diverse approach to sharing and communicating high quality, community-based, open neuroscience while bringing transparency and interactivity to the publishing process.

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)0.117
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.117
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.027
GPT teacher head0.241
Teacher spread0.214 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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