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CJN volume 50 issue 4 Cover and Front matter
Mark C. Preul, Maria Carmela Tartaglia, Ian R. Mackenzie, Coulter Small, Yusuf Mehkri, Eric Panther, Patrick Felisma, Brandon Lucke‐Wold, Anas Alrohimi, Glen C. Jickling, Brian Buck, Kenneth Butcher, Hyunwoo Lee, Vanessa Wiggermann, Alexander Rauscher, Christian Kames, Mirza Faisal Beg, Karteek Popuri, Roger Tam, Kevin Lam, Claudia Jacova, Elham Shahinfard, Vesna Sossi, Jacqueline A. Pettersen, Ging-Yuek Robin, Andrea Gambino, Emanuele Ravetti, Andrea Naldi, Riccardo Russo, Stefano Molinaro, Francesco Mistretta, Marcella Jorfida, Davide Castagno, Gaetano Maria De Ferrari, Paolo Cerrato, Giovanni Bosco, Federico D’Agata, Alessandro Cicerale, Mauro Bergui, J. J. Neal, Sherry Hu, John Reid, Kara Matheson, Gord Gubitz, Wendy Simpkin, Christine Christian, Stephen Phillips, Emre Kumral, Fatma Ece Çetin, Hüseyin Nezih Özdemir, Kasim E. Abdulaziz, Monica Taljaard, Dar Dowlatshahi, Ian G. Stiell, George A. Wells, Jeffrey J. Perry, Joel Agarwal, Jennifer LaBranche, Simran Dhillon, W. Ted Allison, Thomas Jeerakathil, Dilini Vethanayagam, Seth Climans, Ronald Ramos, Paola Anna Jablonska, David Shultz, Warren Mason, Supriyo Choudhury, Ummatul Siddique, Simin Rahman, Yogesh Kumar, Sattwika Banerjee, Mark Baker, Stuart Baker, Hrishikesh Kumar, George N. Okoli, Olt Lam, Viraj Reddy, Nicole Askin, Nameer Al‐Yousif, Linda Wilhelm, Janet Gunderson, Anne Hayes, Behzad Mansouri, Ahmed M Abou-Setta, Yakdehikandage S. Costa, Brian C. Murray, Mark I. Boulos, Daniel Banaszek, Greg McIntosh, Raphaële Charest-Morin, Edward Abraham, Neil Manson, Michael Johnson, C. Bailey, Raja Rampersaud, Andrew Glennie, Jérôme Paquet, Andrew Nataraj, Michael Weber, Sean Christie, Najmedden Attabib, Alex Soroceanu, Adrienne Kelly, Hamilton Hall, Ken Thomas, Charles G. Fisher, Nicolas Dea, Alberto Alemán, Elisa Agnese Nigro, Hernán Gonorazky, Richard Leblanc, Marko M. Popovic, Edward Brief, Laura Garofalo, Nitin Gaikwad, Stuart Menzies, Carol Thomas, Colleen Curtis, Hélène Parpal, Al-alya Alsabah, Robert Altman, Esther Bui, Hayley F. Thornton, Sara Alnajjar, Juan Fco, D William Rios, G. Fathi, V. Liu, Francesco Misirocchi, Alessandro Zilioli, Alberto Benussi, Sabina Capellari, Carlotta Mutti, Irene Florindo, Marco Spallazzi, Liborio Parrino, Caitlin Christensen, Collin Luk, Mohammed Hussain, Lucie Lachance, Philippe Huot, Maureen Jurkowski, Luis E.B. Bettio, Eamor M. Woo, Anna Patten, Shing–Tung Yau, Joana Gil‐Mohapel, Robert Chen, Robert Hammond, Philippe Hout, Mahendranath Moharir, Tejas Sankar, Manas Sharma, Richard Wennberg, Amy Yu, Greg L. Bryan, Young London, Douglas W. Zochodne, James Sharpe, Robert Lee, Robert Ross, Mark A. MacLean, Aleksandra Mineyko, Jorge G. Burneo, Jodie Burton, Colin Chalk, K.C. Allen Chan, Alan Goodridge, Mark G. Hamilton, Michael D. Hill, Alan A. Jackson, Draga Jichici, Suneil K. Kalia, 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
Bibliographic record
VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersUniversity of Cambridge
KeywordsFront coverCover (algebra)Front (military)Volume (thermodynamics)Environmental scienceContent (measure theory)GeographyMathematicsPhysicsMeteorologyEngineering
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 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 score0.165
Threshold uncertainty score0.235
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) | 0.835 | 0.703 |
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 head0.044
GPT teacher head0.224
Teacher spread0.179 · 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".
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Citations0
Published2023
Admission routes1
Has abstractyes