← Back to cohort
CJN volume 38 issue 2 Cover and Front matter
Michael D. Hill, Werner J. Becker, Prin Chitsantikul, David M. Pelz, Praveena Deekonda, Mark Bernstein, Mary Ellen Macdonald, Colin Chalk, G. Bryan Young, Jean Raymond, J. Henry, Jintao Zhang, Ying Peng, Huanqing Fan, Mei Chen, Tan Xu, Yonghong Zhang, Daniel Yavin, D. F. Roberts, Michael K. Tso, Garnette R. Sutherland, Misha Eliasziw, John H. Wong, Tim E. Darsaut, J. N. Findlay, Suk‐Won Ahn, Suhyun Kim, Jee-Eun Kim, Sungmin Kim, Hyun Kim, Jung‐Joon Sung, Kwang‐Woo Lee, Yoon-Ho Hong, Max Dahele, Michael G. Fehlings, Arjun Sahgal, Evan Lewis, Melanie Strike, Andy Asifdoja, Jonathan Ni, Nadine Weber, Erick Wiper-Bergeron, Caroline Hayhurst, Daniel Mendelsohn, Mark J. Winder, Kenneth R. Thomas, Kathleen Joy O. Khu, Rajiv Midha, Michael D. Cusimano, D. Rewilak, Donald T. Stuss, J Barrera- Martinez, Fateme Salehi, Mark S. Freedman, Lisa A.S. Walker, Paul D. Mendella, Alan J. A. Stewart, Alfred M. Freedman, Christopher J. Klein, Joon-Shik Moon, Michelle L. Mauermann, Steven R. Zeldenrust, Yanhong Wu, Angela Dispenzieri, P. James B. Dyck, Richard S. McLachlan, David Diosy, Simon A. Levin, Seung‐Hyun Kim, Ji‐Hye Park, Yu Kim, Seong‐Beom Koh, Pingyuan Gong, Jing Li, Jian Wang, Lei Xu, Dongmei Chen, Kejin Zhang, Wenjiang Zhang, Anyuan Zhen, Xiaocai Gao, Fuchang Zhang, Kuan-Lin Lai, Kwong‐Kum Liao, Jong‐Ling Fuh, Shuu‐Jiun Wang, Maureen Markle‐Reid, Camille Orridge, Robin Weir, Gina Browne, Amiram Gafni, Mary Lewis, Marian Walsh, Charissa Levy, Stacey Daub, Heather Brien, Jacqueline Roberts, Lehana Thabane, Highlights Neuroimaging, Kevin Susac's Syndrome, Rekha Lian, Robert Siripurapu, J. Sean Yeung, Kenneth Hopyan, R. D. Eng, Sean Aviv, Cameron M. McDougall, Tejas Sankar, Vivek Mehta, Jeffrey A. Pugh, Calixto Machado, Mario Estévez, Jesús Pérez-Nellar, Joel Gutiérrez, Rafael Rodríguez‐Rojas, Maylén Carballo, Mauricio Chinchilla, Andrés Machado, Liana Portela, Maria Garci'a-Roca, Carlos Beltrdn, Evelyne Cote-Mantha, Martin Savard, Richard J. Huntsman, E Lemire, Christopher Voll, Samuel Wiebe, N. Lowry, Vivien Tang, John Woulfe, David A. Grimes, Jamsheed A. Desai, Albert Yongwon, Michel Melanson, Perry Dhaliwal, Aleksa Cenic, Muneer Eesa, Stéfan du Plessis, Faizal Haji, Yatri Patel, Lee Cyn Ang, Joseph Megyesi, Noémie Auclair‐Ouellet, Sophie Chantal, Mario Cantín, M. Prudhomme, Mélanie Langlois, Joël Macoir, Morgan Schellenberg, Omar Islam, R. Pokrupa, Francesco Signorelli, Nancy McLaughlin, Michel W. Bojanowski, Yoon‐Sang Oh, Joong‐Seok Kim, Sung‐Woo Chung, Young‐Do Kim, Kwang-Soo Lee, Fred Cohen, William M. Murphy
Bibliographic record
VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront coverCover (algebra)Front (military)Volume (thermodynamics)Content (measure theory)Action (physics)Environmental scienceComputer scienceGeographyMathematicsPhysicsEngineeringMeteorologyMechanical engineering
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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 score0.195
Threshold uncertainty score0.278
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.805 | 0.629 |
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 head0.053
GPT teacher head0.211
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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".
Quick stats
Citations0
Published2011
Admission routes1
Has abstractyes