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Record W4212993890 · doi:10.1002/ana.26221

Issue Information

2021· paratext· en· W4212993890 on OpenAlexaboutno aff
Clifford B. Saper, Christine Klein, Justin C. McArthur, Phillip L. Pearl, Christopher Goetz, Allison W. Willis, Lesli E. Skolarus, Roland Faigle, Uma Menon, Hannah Redwine, Amanda Brown, Elizabeth A. Felton, Adys Mendizabal, Avindra Nath, Frances E. Jensen, Audrey C. Brumback, Rujuta B. Wilson, Erika F. Augustine, Nancy Bass, Alexander G. Bassuk, Diana M. Cejas, Renée A. Shellhaas, Jonathan B. Strober, Ann Tilton, Simon Pan, Jonah R. Chan, Ana Podcasts, Rohit Das, Adeline Goss, Megan Richie, Romergryko G. Geocadin, Helen Mayberg, Ian Harding, Sidhant Chopra, Filippo Arrigoni, Sylvia Boesch, Arturo Brunetti, Sirio Cocozza, Louise A. Corben, Andreas Deistung, Martin B. Delatycki, Stefano Diciotti, Imis Dogan, Stefania Evangelisti, Marcondes C. França, Sophia Göricke, Nellie Georgiou‐Karistianis, Laura Ludovica Gramegna, Pierre‐Gilles Henry, Carlos R. Hernandez‐Castillo, Diane Hutter, Neda Jahanshad, James M. Joers, Christophe Lenglet, Raffaele Lodi, David Neil Manners, Alberto Martínez‐Cuezva, Andrea Martinuzzi, Chiara Marzi, Mario Mascalchi, Wolfgang Nachbauer, Chiara Pane, Denis Peruzzo, Pramod Kumar Pisharady, Giuseppe Pontillo, Kathrin Reetz, Thiago Junqueira Ribeiro de Rezende, Sandro Romanzetti, Francesco Saccà, Christoph Scherfler, Jörg Schulz, Ambra Stefani, Claudia Testa, Sophia I. Thomopoulos, Dagmar Timmann, Stefania Tirelli, Caterina Tonon, Marinela Vavla, Gary F. Egan, Paul M. Thompson, Dalit Cayam‐Rand, Ting Guo, Anne Synnes, Vann Chau, Connor Mabbott, Isabel Benavente‐Fernández, Ruth E. Grunau, Steven P. Miller, Kimitoshi Kimura, Youwei Lin, Hiromi Yamaguchi, Wakiro Sato, Daiki Takewaki, Misako Minote, Yoshimitsu Doi, Tomoko Okamoto, Ryōsuke Takahashi, Takayuki Kondo, Takashi Yamamura, Hadar Kolb, Martina Absinta, Erin Beck, Seung‐Kwon Ha, Yeajin Song, Gina Norato, Irene Cortese, Pascal Sati, Govind Nair, Daniel S. Reich, Peter Berlit, Hans‐Christoph Diener, Christian Gerloff, Andreas Greinacher, Gabor C. Petzold, Marco Piccininni, Sven Poli, Rainer Röhrig, Helmuth Steinmetz, Thomas Thiele, Tobias Kurth, Carlos Lopez‐Gómez, Maria J. Sanchez‐Quintero, Jeong‐Bong Lee, Giulio Kleiner, Saba Tadesse, Jun Xie, Hasan O. Akman, Guangping Gao, Michio Hirano, Chiara Pavan, Anna L. R. Xavier, Marta Ramos, Jane Fisher, Marios Kritsilis, Adam Linder, Peter Bentzer, Maiken Nedergaard, Iben Lundgaard, Chencheng Zhang, Yijie Lai, Jun Li, Naying He, Yu Liu, Yan Li, Hongyang Li, Hongjiang Wei, Fuhua Yan, Andreas Horn, Dianyou Li, Bomin Sun, Sudarshini Ramanathan, Mandy Tseng, Alexander Davies, Christopher Uy, Sofija Paneva, Victor Mgbachi, Sophia Michael, James Varley, Sophie Binks, Andreas C. Themistocleous, Janev Fehmi, Yaacov Anziska, Anushka Soni, Monika Hofer, Patrick Waters, Fabienne Brilot, Russell C. Dale, John Dawes, Simon Rinaldi, David A. Bennett, Sarosh R. Irani, Grace Tewkesbury, Jae Hee Song, Christopher Perrone, Zimeng Ye, Ingrid E. Scheffer, Samuel F. Berkovic, Michael S. Hildebrand, Seyeon Kim, Sara Baldassari, Stéphanie Baulac, Josef Finsterer, Fúlvio A. Scorza, Otávio de Melo Espíndola, Yago Côrtes Pinheiro Gomes, Marco Antônio, S Lima, Ana Cláudia, Cristiane Mota Leite, Abelardo Araújo, Marcus Tulius, Tiago Silva, Michael H. Fox, Samia J. Khoury, Álvaro Pascual‐Leone, Scott L. Pomeroy, Martin Samuels, Donald L. Schomer, Christopher Walsh, Rebecca A. Betensky, New York, Allan Gordon, Daniel Roe, Fred Plum

Bibliographic record

VenueAnnals of Neurology · 2021
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiotin and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnnalsCitationComputer scienceLibrary scienceInformation retrievalHistoryClassics

Abstract

fetched live from OpenAlex

Wiley's Corporate Citizenship initiative seeks to address the environmental, social, economic, and ethical challenges faced in our business and which are important to our diverse stakeholder groups.Since launching the initiative, we have focused on sharing our content with those in need, enhancing community philanthropy, reducing our carbon impact, creating global guidelines and best practices for paper use, establishing a vendor code of ethics, and engaging our colleagues and other stakeholders in our efforts.Follow our progress at www.wiley.com/go/citizenship.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.085
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9150.905

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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueAnnals of NeurologySame topicBiotin and Related StudiesFrench-language works237,207