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CJN volume 44 issue 1 Cover and Front matter
Jonathan C. Lau, Suzanne Kosteniuk, Frank Bihari, Joseph Megyesi, Daryl R. Fourney, Christopher J. Honey, Clement Hamani, Suneil K. Kalia, Tejas Sankar, Marina Picillo, Renato P. Munhoz, Alfonso Fasano, Michel Panisset, Sonia Marcone, Jean‐François Gagnon, Sarah Lecomte, Hélène Imbeault, Frédérique Limoges, Ronald B. Postuma, Josie‐Anne Bertrand, Sven Joubert, Isabelle Rouleau, Hyperfamiliarity In Amnestic, Vascular Mild, Cognitive Impairment, Pei Shi, Shahul Hameed, Pin Kok, Ling Yong, Simon Chan, Seng Kang, J. Michael Ellis, Lesley Ritchie, Patrick McDonald, Dean M. Cordingley, K. Reimer, Satnam S. Nijjar, Mark Koltek, Shahid Hosain, Janine L. Johnston, Behzad Mansouri, Scott Sawyer, Norm Silver, Richard Girardin, Shannon Larkins, Sara Vis, Erin Selci, Michael Davidson, Scott Gregoire, Angela Sam, Brian Black, Martin Bunge, Marco Essig, Peter S. Macdonald, Jeff Leiter, Kelly Russell, Colin Wilbur, Chinnuwat Sanguansermsri, Hedi Chable, Mihaela Anghelina, Sharon Peinhof, Kelly K. Anderson, Paul Steinbok, Ash Singhal, Anita Datta, Mary Connolly, Serena L. Orr, Beth K. Potter, Jinhui Ma, Ian Colman, Alireza Mansouri, Christopher D. Witiw, Jetan H. Badhiwala, Farshad Nassiri, Abhaya V. Kulkarni, Gelareh Zadeh, Douglas Kondziolka, Vincent Ye, Ryojo Akagami, Andrew Jack, Godefroy Hardy, Andrew Nataraj, Adrian Levine, Andrew G. Parrent, Keith W. MacDougall, Hélène Blasco, Guillaume Garçon, Franck Patin, Charlotte Veyrat‐Durebex, Judith Boyer, David Devos, Patrick Vourc’h, Christian Andrés, Philippe Corcia, Jordan Warford, Anna-Claire Lamport, Barry E. Kennedy, Alexander Neuroimaging, Adrian Budhram, Manal Gabril, Donald Lee, J. R. E. Fraser, Hong Kuan Kok, Hamed Asadi, Mark McCusker, Alan O’Hare, John Thornton, Paul Brennan, Seamus Looby, Gonçalo Cação, Joana Martins, José Pedro, Rocha Pereira, Ana Paula Correia, Joana Damásio, Kimberley Trickey, Laura Hornby, Sam D. Shemie, Jeanne Teitelbaum, Thalia S. Field, Marie‐Christine Camden, Sohaila Alshimemeri, Gary Lui, Agnes Lee, Julie Kromm, Tim E. Darsaut, Khurshid Khan, Robert Ashforth, Ghrooda Obituary, Abath Osorio, Carlos Neto, Cristiane Heise, Martins De Araújo, Eduardo Moreno, Paula De, Lilia Estephan, Doris Mesrob, Anne Lechner, Jean-François Boland, Acary Deleuze, Bulle Souza, Umbertina Oliveira, Reed Conti, Valérie Biancalana, Jocelyn Laporte, Edmar Zanoteli, Pragma Roy, Adam Wu, Chelsea Dash, José Francisco Téllez‐Zenteno, 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, Jorge G. Burneo, Jodie Burton, Colin Chalk, King Ming Chan, Alan Goodridge, Nl S John's, Mark G. Hamilton, Michael D. Hill, Alan A. Jackson, Draga Jichici, Daniel Keene, Julia Keith, Stephen Lownie, Jian‐Qiang Lu, 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, Andrew Saskatoon
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 coverCover (algebra)Front (military)Volume (thermodynamics)Environmental scienceAction (physics)Content (measure theory)Computer scienceGeographyMathematicsPhysicsEngineeringMeteorologyMechanical engineering
Abstract
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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 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 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 score0.189
Threshold uncertainty score0.270
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 | 0.002 |
| 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) | 0.811 | 0.675 |
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 head0.036
GPT teacher head0.212
Teacher spread0.176 · 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
Published2016
Admission routes1
Has abstractyes