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CJN volume 43 issue 5 Cover and Front matter
Todd A. Hardy, Chenyu Wang, Heidi Beadnall, Jim Lagopoulos, Yael Barnett, Alexander Klistorner, Michael Barnett, Tally Lerman‐Sagie, Z. Leibovitz, Shannon Janzen, Amanda Mcintyre, Marina Richardson, Eileen Britt, Robert Teasell, Alfonso Fasano, Silke Appel‐Cresswell, Mandar Jog, Mateusz Zurowkski, Sarah Duff‐Canning, Mélanie Cohn, Marina Picillo, Christopher J. Honey, Michel Panisset, Renato P. Munhoz, Miguel Ángel Merino-Ramírez, Charles F. Bolton, Sophia Gocan, Aline Bourgoin, Dylan Blacquière, Rany Shamloul, Dar Dowlatshahi, Grant Stotts, Caroline Just, Philippe Rizek, Peter Tryphonopoulos, David M. Pelz, Miguel Arango, Matthew E. Eagles, David Bradbury-Squires, Maria Powell, Justin Murphy, G. D. Campbell, Falah Maroun, Ziad Nasreddine, Bhavini Bhovan, Nicholas Cothros, Jorge G. Burneo, David A. Steven, Kori A. LaDonna, Christopher Watling, Susan M. Ray, Christine Piechowicz, Shannon L. Venance, Theodore Wein, Meetu Bhogal, Sonja Dhani, Robert F. Miller, Farooq Ismail, Richard Beauchamp, Grace A. Trentin, Verónica Bruno, Susan H. Fox, Deborah Mancini, Janis M. Miyasaki, Linli Zhou, Ying Jiang, Cansheng Zhu, Lili Ma, Qiling Huang, Chen Neuroimaging, Fábio A. Nascimento, Felippe Borlot, Danah Aljaafari, Martín del Campo, Prasanna Venkatesan Eswaradass, Emmad Qazi, Bijoy K. Menon, Lee Song, Hyun Seok Choi, Jinhee Jang, So Jung, Jin Hee Ahn, Bum‐Soo Kim, Jaseong Koo, Yong Won Shin, Leodante da Costa, Marcelo Cunha, Nir Lipsman, Chiat Chee, Kartini Liong, Jordina Rahmat, Yi Siu, Shen-Yang Mah, Ai Ching Lim, Mashary Binnahil, Karolyn Au, Jian‐Qiang Lu, Matthew Wheatley, Tejas Sankar, Guillaume Saliou, Marc Tardieu, Marie Théaudin, Sarah Power, Kumaran Deiva, Emmanuelle Lapointe, Charles Deacon, Louis Royer-Perron, Stephen C. Cunnane, Christian‐Alexandre Castellano, Christian Bocti, Michael E. Jackson, Vânia F. Prado, Marco A. M. Prado, Robert Toronto, Etienne De, Villers-Sidani Montreal, Robert London, Hans Katzberg, A Mañas, Sharma London, Jeanne Montreal, Greg L. Bryan, Young London, Douglas Calgary, James Toronto, Robert Lee, Robert Winnipeg, Jodie Burton, Colin Chalk, K.C. Allen Chan, Alan Goodridge, Nl S John's, Mark G. Hamilton, Michael D. Hill, Alan Jackson, Draga Jichici, Suneil K. Kalia, Daniel Keene, Julia Keith, Stephen Lownie, Patrick McDonald, Joseph Megyesi, Tiago Mestre, Sarah A. Morrow, Michael Nicolle, Narayan Prasad, Alex Rajput, Kesh Reddy, Ramesh Sahpaul, Dipanka Sarma, Sean Symons, Brian Toyota, Brian G. Weinshenker, Sam Wiebe, Eugene Yu
Bibliographic record
VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Environmental scienceContent (measure theory)Computer scienceGeographyMathematicsPhysicsMeteorologyEngineeringMechanical engineeringThermodynamics
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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.815
Threshold uncertainty score0.264
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.815 | 0.671 |
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 head0.035
GPT teacher head0.212
Teacher spread0.177 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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
Published2016
Admission routes1
Has abstractyes