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CJN volume 38 issue 3 Cover and Front matter
Amanda Murphy, Carlos Torres, Cheemun Lum, Mathew Hogan, Miguel Bussière, Samuel Wiebe, Michael D. Hill, M. Boulton, David M. Pelz, José Francisco Téllez‐Zenteno, Cristina Mendes Peter, N. Watson, Manouchehr Javidan, Nicolas Dupré, Gillian R. Paton, Evan Frangou, Daryl R. Fourney, Stroke In Women, Meredith Salisbury, Gerald Pfejfer, Samuel Yip, Aleksandra Mineyko, Sharon Whiting, Gail E. Graham, J. Henry, Kristen M. Krysko, Paul O’Connor, Janice Wong, Tara Gomes, Muhammad Mamdani, Michael Manno, Alexander G. Weil, Ralph Rahme, Robert Moumdjian, Alain Bouthillier, Michel W. Bojanowski, Ronald Moussa, Rabih Bou Nassif, Joseph Maarrawi, Tony Rizk, G. Nohra, Elie Samaha, Nabil Okais, M Almekhlafl, A. Couillard, Naimish Pandya, W Shobha, J Morrish, John Dufton, Y Syed, Manraj Habeeb, David Heran, Omar Mikulis, Basil Hassouneh, John Centofanti, Kesava Reddy, Catherine Lacny, Andrew Kirk, Debra Morgan, Chandima Karunanayake, Jean K. Mah, Kathryn Selby, Craig Campbell, Amélie Nadeau, Mark A. Tarnopolsky, Anna McCormick, Joseph Dooley, Hanna Kolski, Andrew J. Skalsky, Rebecca A. Smith, David N. Buckley, Peter N. Ray, Grace Yoon, Benjamin Ho, Hmwe Hmwe Kyu, Draga Jichici, A.R.M. Upton, Elie A. Akl, Maureen O. Meade, Seyed M. Mirsattari, Teneille Gofton, Derek J. Chong, Cinzia Cavestro, Luca Richetta, M.R. L'Episcopo, Enrico Pedemonte, Sergio Duca, Carlo Di Pietrantonj, Panpan Hao, Yuguo Chen, Jiali Wang, Li Wang, Yun Zhang, Faizal Haji, Murad Alturkustani, Andrew G. Parrent, Joseph Megyesi, Irene Gulka, Jamsheeda Desai, Jessica Dobson, Michel Melanson, Giovanna Pari, Albert Yongwon, Katie Wiltshire, Kenneth A. Myers, Xing‐Chang Wei, Ismail Mohamed, Christina Boettcher, Clemens Warnke, Stephan Macht, Hans‐Peter Hartung, Bernd C. Kieseier, Ron R. Levy, Walter Hader, Christian Pagnoux, Carter Thorne, Efrem D. Mandelcorn, Simon Carette, Fabrizio Giuliani, Ingrid Catz, Edward S. Johnson, Lothar Resch, Kenneth G. Warren, Francesco Brigo, Greg L. Bryan, Young London, J Findlay, A Michael, Shevell Montreal, Timothy Benstead Halifax, Mike London, Serge Gauthier Verdun, Robert London, Douglas Calgary, James Toronto, Robert Lee, Robert Winnipeg, Jorge London, Richard Desbiens, Quebec City, David Fortin, Mark Calgary, Germany Michael, Hill Calgary, Jackson Winnipeg, Daniel Ottawa, Terence Calgary, Alan James, Perry Toronto, Suchowersky Calgary, Brian Toyota, Brian Weinshenker, Conseil De Redaction, Neuroimaginghighlightlneuroimagerie David, Pelz London, Robert Hammond, Andrew Saskatoon, Mary London
Bibliographic record
VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsVancouver Biotech (Canada)Montreal Neurological Institute and HospitalAlberta Bible College
Fundersnot available
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Environmental scienceContent (measure theory)Computer scienceMathematicsGeographyEngineeringMeteorologyPhysicsMechanical engineering
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)0.004
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 score0.185
Threshold uncertainty score0.264
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.815 | 0.653 |
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 head0.054
GPT teacher head0.211
Teacher spread0.156 · 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
Citations1
Published2011
Admission routes2
Has abstractyes