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CJN volume 49 issue 3 Cover and Front matter
David J. Gladstone, M. Patrice Lindsay, James D. Douketis, Eric E. Smith, Dar Dowlatshahi, Theodore Wein, Aline Bourgoin, Jafna L. Cox, John L. Falconer, Brett Graham, Marilyn Labrie, Lena McDonald, Jennifer Mandzia, Daniel Ngui, Paul Pageau, Amanda Rodgerson, William Semchuk, Tammy Tebbutt, Carmen Tuchak, Stephen van Gaal, Karina Villaluna, Norine Foley, Shelagh B. Coutts, Anita Mountain, Gord Gubitz, Jacob A. Udell, Rebecca McGuff, Alexandre Y. Poppe, Reza Hajati, Maziar Emamikhah, Danaee Fardad, Mohammad Fard, Afagh Rohani, Original Alavi, Véronica Birca, Mark R. Keezer, Laury Chamelian, Anne Lortie, Dang Le Tri Nguyen, Ruba Kiwan, Alistair Jukes, Michael Mayich, Melfort Boulton, Manas Sharma, David M. Pelz, Sachin Pandey, Fateme Salehi, Nadeem Ibrahim, Benjamin Y. M. Kwan, Peter Johnson, Donald Lee, Alexander D. Rebchuk, Leah Kuzmuk, Halina M. Deptuck, Noah D. Silverberg, Thalia S. Field, Raed A. Joundi, Scott B. Patten, Aysha Lukmanji, Jeanne V.A. Williams, Ming Zhang, Mohammad Rohani, M. Haghighi, Christine Sato, Ekaterina Rogaeva, Alfonso Fasano, Satyakam Baruah, André Olivier, Jeffery A. Hall, Jodie I. Roberts, Christopher Hahn, Luanne M. Metz, Maryam Oskoui, Hernán Gonorazky, Hugh J. McMillan, James J. Dowling, Reshma Amin, Cynthia Gagnon, Kathryn Selby, Paul S. Giacomini, Jiwon Oh, Sarah A. Morrow, Philippe Beauchemin, Fraser Clift, Virginia Historical, Richard Leblanc, Tychicus Chen, Hannah Briemberg, Yee Sin, Patrick Foo, T. Goddard Nicholson, Luis Rafael, Solís Tarazona, Edgar Lorente Martínez, Carmen María, Sanchis Llopis, Ario Mirian, Joe Yu, Courtney Casserly, Adrian Budhram, Omar Islam, Donatella Tampieri, Martin ten Hove, Shailee Shah, Christopher P. Wood, Michael A. Lane, Kyle Smoot, Brian G. Weinshenker, Diana Kim, Maarten van den Broek, Talia Vertinsky, Clark Funnell, Tanya L. Feng, Alyson Plecash, Ronda Lun, Margaret Moores, Tiago Mestre, Ari Breiner Brief, Helen Lowe, Anne E. Keller, Elise Tanzini, Sabrina Aimola, Y Liu, Maria Zak, Valerie Chan, Jeff Kobayashi, Elizabeth Donner, Ariane Giguère-Rancourt, Marika Plourde, Eva Racine, Marianne Couture, Mélanie Langlois, Nicolas Dupré, Martine Simard, Cormac Southam, Jennifer Grossman, Alba Santos, Florian Desgranges, Marina Jovanović, Angelica Anichini, Antonios Kritikos, Vincent Dunet, Jean‐Philippe Brouland, Marie Théaudin, Caroline Pot, Renaud Du Pasquier, Vasiliki Reflections, Bryan D. Young, Erica Mckenzie Obituary, Richard Fagbemigun, Ashley Benchluch, Kevin Le, Patrick Diaz, Evan Lewis, Rosalie Mercure-Cyr, Amit Persad, Aleksander Vitali, Hussam Kaka, Ramiro Larrazabal, Brian van Adel, Laura Donaldson, Daniel M. Mandell, Megumi Iizuka, Edward Margolin, Ahmad Almutlaq, Abdulrahman Alkhalifa, Olena Bereznyakova, Sarah Garaud, José Boto, Kristóf Égervári, María Isabel Vargas
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 institutionsMcGill University
FundersUniversity of Cambridge
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Action (physics)Content (measure theory)Environmental scienceMathematicsGeographyEngineeringPhysicsMeteorologyMechanical 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 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 score0.159
Threshold uncertainty score0.227
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) | 0.841 | 0.712 |
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 head0.211
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; 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
Published2022
Admission routes2
Has abstractyes