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CJN volume 49 issue 4 Cover and Front matter
Tommy Lik, Hang Chan, Amitabh Bhattacharya, Mrudula Kambhampati, S.Mani Chakra Sai -, Narsappa Talakad, Kumar Sathyaprabha, Róbert Pál, Kaviraja Chen, Jacky Ganguly, Dinkar Kulshreshtha, Tissa Wijeratne, William M. Carroll, Joseph Chu, Yosuf Kaliwal, Maria Koh, Robert Chen, Chi-Ming Chow, Dennis T. Ko, Peter Liu, Gordon W. Moe, Aravind Ganesh, Isabella R. Reis, Malavika Varma, David Patry, Lara Cooke, Wafaa Al‐Shehhi, Vann Chau, Jennifer Boyd, Carter Snead, Rohit Sharma, Elizabeth Donner, Cristina Go, Puneet Jain, Guy Boudreau, Ian Finkelstein, Corrie Graboski, May Ong, Suzanne Christie, Katherine Sommer, Meetu Bhogal, Goran Davidović, Werner J. Becker, Andreas Kramer, Julie Kromm, Christopher J. Doig, Michaël Chassé, Philippe Couillard, Michelle Kameda-Smith, Akshat Pai, Youngkyung Jung, Dure Khan, Ashley Adile, Katrina Hui, Amanda Martyniuk, Ramiro Larrazabal, Almunder Algird, Paula Klurfan, Þorsteinn Gunnarsson, Forough Farrokhyar, Brian van Adel, Solon Schur, Dimitra Panagiotoglou, Salvatore Di Maio, David L. Buckeridge, Tara Dalby, Christian Iorio‐Morin, Suneil K. Kalia, Lashmi Venkatraghavan, Michael Dinsmore, Robert Hammond, Christopher Dunham, Deborah E. McFadden, Marc R. Del Bigio, Mari Perez‐Rosendahl, Harry V. Vinters, Jonathan A. Micieli, Caberry W. Yu, Jeremiah Hadwen, Alick Wang, Razmik Bebedjian, Robert Fahed, G Brief, Magda Nowicki, Sandrine Bourgeois-Tardif, Patrick Diaz, François Hébert, Nathalie T. Sanon, Pierre‐Olivier Champagne, Philippe Major, Erick Sell, Jonathan Bitton, Evan Lewis, Alexander G. Weil, Practice Pearls, Chris Boulias, Farooq Ismail, Chetan P. Phadke, Tommaso Cillotto, Giovanni Furlanis, Alex Buoite Stella, Carlo Lugnan, Paola Caruso, R Pozzi Mucelli, Marcello Naccarato, Paolo Manganotti, Danny Monsour, Vítor Mendes Pereira, Arun Sundaram, Chloe Gui, Madeleine de Lotbinière-Bassett, Nima Kashani, Johanna M. Ospel, Mohammed Almekhlafi, John H. Wong, Catherine Sukhavitskaya, Felix Tyndel, Mélanie Hébert, Cristina Bostan, Mark Bamberger, Karin Oliver, Marie‐Josée Aubin, Maziar Emamikhah, Zahra Vahedi, Mohammad Rohani, Mohammadreza Shalbafan, Lawrence Ledoux-Hutchinson, Jimmy Li, Marie‐Paule Morin, Jean De Bruycker, Bruce Tapiéro, Sophy Chan-Nguyen, Mustafa Karacam, Benjamin Ritsma, Ramana Appireddy, Veronika Vielsmeier, Steven C. Marcrum, Franziska C. Weber, Berthold Langguth, Constantin A. Hintschich, Philippe Hout, Mahendranath Moharir, Tejas Sankar, Manas Sharma, Jeanne Teitelbaum, Richard Wennberg, Greg L. Bryan, Young London, Douglas W. Zochodne, James Sharpe, Robert Lee, Robert Ross, Mark A. MacLean, Jorge G. Burneo, Jodie Burton, Colin Chalk, K.C. Allen Chan, Alan Goodridge, Mark G. Hamilton, Michael D. Hill, Alan Jackson, Draga Jichici, Daniel Keene, Julia Keith, Nir Lipsman, Stephen Lownie, Jian‐Qiang Lu, Patrick McDonald, Joseph Megyesi, Tiago Mestre, Sarah A. Morrow, Michael Nicolle, Ian F. Parney, Narayan Prasad, Alex Rajput, Kesh Reddy, Larry Robinson, Ramesh Sahpaul, Dipanka Sarma, Jai Shankar, Madeleine Sharpe, Ashkan Shoamanesh, Sean Symons, Brian Toyota, Brian G. Weinshenker, Sam Wiebe, Jefferson R. Wilson, Amy Yu, Eugene Yu
Bibliographic record
VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Content (measure theory)Action (physics)Environmental scienceComputer scienceMathematicsGeographyEngineeringPhysicsMeteorologyMechanical engineeringThermodynamicsMathematical analysis
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 score0.846
Threshold uncertainty score0.220
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) | 0.846 | 0.713 |
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 head0.211
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; 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
Published2022
Admission routes1
Has abstractyes