Record W3131396636 · doi:10.1016/j.neuron.2021.04.001

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

2021· article· en· W3131396636 on OpenAlexaff

Rémi Gau, Stephanie Noble, Katja Heuer, Katherine L. Bottenhorn, Isil Poyraz Bilgin, Yufang Yang, Julia M. Huntenburg, Johanna Bayer, Richard A. I. Bethlehem, Shawn A Rhoads, Christoph Vogelbacher, Valentina Borghesani, Elizabeth Levitis, Hao-Ting Wang, Sofie Van Den Bossche, Xenia Kobeleva, Jon Haitz Legarreta, Samuel Guay, Melvin Selim Atay, Gael P. Varoquaux, Dorien Huijser, Malin Sandström, Peer Herholz, Samuel A. Nastase, AmanPreet Badhwar, Guillaume Dumas, Simon Schwab, Stefano Moia, Michael Dayan, Yasmine Bassil, Paula P. Brooks, Matteo Mancini, James M. Shine, David O’Connor, Xihe Xie, Davide Poggiali, Patrick Friedrich, Anibal Sólon Heinsfeld, Lydia Riedl, Roberto Toro, César Caballero‐Gaudes, Anders Eklund, Kelly Garner, Christopher Nolan, Damion V. Demeter, Fernando A. Barrios, Junaid S. Merchant, Elizabeth A. McDevitt, Robert Oostenveld, R. Cameron Craddock, Ariel Rokem, Andrew Doyle, Satrajit Ghosh, Aki Nikolaidis, Olivia W. Stanley, Eneko Uruñuela, Nasim Anousheh, Aurina Arnatkevičiūtė, Guillaume Auzias, Dipankar Bachar, Élise Bannier, Ruggero Basanisi, Arshitha Basavaraj, Marco Bedini, Pierre Bellec, R. Austin Benn, Kathryn Berluti, Steffen Bollmann, Saskia Bollmann, Claire Bradley, Jesse A. Brown, Augusto Buchweitz, Patrick Callahan, Micaela Y. Chan, Bramsh Q. Chandio, Theresa W Cheng, Sidhant Chopra, Ai Wern Chung, Thomas Close, Etienne Combrisson, Giorgia Cona, R. Todd Constable, Claire Cury, Kamalaker Dadi, Pablo F. Damasceno, Samir Das, Fabrizio De Vico Fallani, Krista DeStasio, Erin W. Dickie, Lena Dorfschmidt, Eugene Duff, Elizabeth DuPré, Sarah L. Dziura, Nathália Bianchini Esper, Oscar Estéban, Shreyas Fadnavis, Guillaume Flandin, Jessica Flannery, John C. Flournoy, Stephanie J. Forkel, Alexandre R. Franco, Saampras Ganesan, Siyuan Gao, José C. García Alanis, Eleftherios Garyfallidis, Tristan Glatard, Enrico Glerean, Javier González-Castillo, Cassandra Gould van Praag, Abigail S. Greene, Geetika Gupta, Catherine Alice Hahn, Yaroslav O. Halchenko, Daniel A. Handwerker, Thomas S. Hartmann, Valérie Hayot-Sasson, Stephan Heunis, Felix Hoffstaedter, Daniela Michelle Hohmann, Corey Horien, Horea-Ioan Ioanas, Alexandru D. Iordan, Chao Jiang, Michael Joseph, Jason Kai, Agâh Karakuzu, David N. Kennedy, Anisha Keshavan, Ali R. Khan, Gregory Kiar, P. Christiaan Klink, Vincent Koppelmans, Serge Koudoro, Angela R. Laird, Georg Langs, Marissa Laws, Roxane Licandro, Sook‐Lei Liew, Tomislav Lipić, Krisanne Litinas, Daniel J. Lurie, Désirée Lussier, Christopher R. Madan, Lea-Theresa Mais, Sina Mansour L., J.P Manzano-Patron, Dimitra Maoutsa, Matheus Marcon, Daniel S. Margulies, Giorgio Marinato, Daniele Marinazzo, Christopher J. Markiewicz, Camille Maumet, Felipe Meneguzzi, David Meunier, Michael P. Milham, Kathryn L. Mills, Davide Momi, Clara Moreau, Aysha Motala, Iska Moxon‐Emre, Thomas E. Nichols, Dylan M. Nielson, Gustav Nilsonne, Lisa Novello, Caroline O’brien, Emily Olafson, Lindsay D. Oliver, John A. Onofrey, Edwina R. Orchard, Kendra Oudyk, Patrick J. Park, Mahboobeh Parsapoor, Lorenzo Pasquini, Scott Peltier, Cyril Pernet, Rudolph Pienaar, Pedro Pinheiro‐Chagas, Jean‐Baptiste Poline, Anqi Qiu, Tiago Quendera, Laura C. Rice, Joscelin Rocha‐Hidalgo, Saige Rutherford, Mathias Scharinger, Dustin Scheinost, Deena Shariq, Thomas B. Shaw, Viviana Siless, Molly Simmonite, Nikoloz Sirmpilatze, Hayli Spence, Julia Sprenger, Andrija Štajduhar, Martin Szinte, Sylvain Takerkart, Angela Tam, Link Tejavibulya, Michel Thiebaut de Schotten, Ina Thome, Laura Tomaz da Silva, Nicolas Traut, Lucina Q. Uddin, Antonino Vallesi, John W. VanMeter, Nandita Vijayakumar, Matteo Visconti di Oleggio Castello, Jakub Vohryzek, Jakša Vukojević, Kirstie Whitaker, Lucy Whitmore, Steve Wideman, Suzanne T. Witt, Hua Xie, Ting Xu, Chao‐Gan Yan, Fang‐Cheng Yeh, B.T. Thomas Yeo, Xi‐Nian Zuo

Bibliographic record

VenueNeuron · 2021

Typearticle

Languageen

FieldEngineering

TopicBiomedical and Engineering Education

Canadian institutionsWestern UniversityPolytechnique MontréalMcGill UniversityMontreal Neurological Institute and HospitalUniversité de SherbrookeUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal

FundersNational Institute on Alcohol Abuse and AlcoholismNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthAgence Nationale de la RechercheEuropean CommissionMotor Neurone Disease AustraliaNational Institute of Biomedical Imaging and BioengineeringWellcome Trust

KeywordsComplement (music)Open scienceNeurosciencePsychologyCognitive scienceEngineering ethicsSociologyBiologyEngineering

DOI10.1016/j.neuron.2021.04.001

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.012

metaresearch head score (Gemma)0.018

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesOpen science

Consensus categoriesnone

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Not applicable · Consensus signal: none

GenreCandidate signal: Commentary · Consensus signal: none

Teacher disagreement score0.997

Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.012	0.018
Meta-epidemiology (narrow)	0.001	0.000
Meta-epidemiology (broad)	0.000	0.000
Bibliometrics	0.001	0.000
Science and technology studies	0.005	0.009
Scholarly communication	0.009	0.008
Open science	0.003	0.021
Research integrity	0.003	0.008
Insufficient payload (model declined to judge)	0.009	0.003

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 head0.028

GPT teacher head0.286

Teacher spread0.258 · 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