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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
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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; both teacher heads agree on what is shown here.
Study designObservational
Domainnot available
GenreEmpirical
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