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Record W4251185138 · doi:10.1017/cjn.2019.231

CJN volume 46 issue 4 Cover and Front matter

2019· article· en· W4251185138 on OpenAlexvenueno aff
Louis-Olivier Bouchard, Maximiliano A. Wilson, Robert Laforce, Simon Duchesne, Xuemei Qi, Huidong Tang, Qi Luo, Bei Ding, Jie Chen, Peijing Cui, Shengdi Chen, Huawei Ling, Jianfang Ma, Amanbir Atwal, Alice Schabas, Jamie Head, Carolyn Taylor, Anthony Traboulsee, Krista Barclay, Robert Carruthers, Sarah Grace Buttle, Erick Sell, Richard Webster, Mélanie Varin, Brigitte Lemyre, Cecil D. Hahn, Daniela Pohl, Michelle Kameda-Smith, Alick Wang, Noora Abdulhadi, Rebecca Voth, Anjali Sergeant, Arjuna Maharaj, David Bakhshinyan, Ashley Adile, Akshat Pai, Olufemi Ajani, Blake Yarascavitch, M. Cheryl A. Alyman, JoAnn Duckworth, Mark Samaan, Forough Farrokhyar, Sheila K. Singh, Adam Fleming, Denise Darmawikarta, Michel Sourour, Rachel Couban, Kamath Sriganesh, K Kesava, Harsha Reddy, Adam A. Dmytriw, Georgios Α. Maragkos, Jeffrey Zuccato, Jeffrey M. Singh, M. Elizabeth Wilcox, Sacha Schweikert, Babak Sharifi, Greg McIntosh, Charles G. Fisher, William Jacobs, Michael Johnson, C. Bailey, Sean Christie, Raphaële Charest-Morin, Jérôme Paquet, Andrew Nataraj, David W. Cadotte, Neil Manson, Hamilton Hall, Kenneth R. Thomas, Y. Raja Rampersaud, Nicolas Dea, Michael K. Tso, J. N. Findlay, Stephen Lownie, Mark Wallace, Brian Toyota, Ian Fleetwood, Glen Neuroimaging, Yang Qu, Hang Jin, Zhen‐Ni Guo, Fuliang Zhang, Jia Liu, Haiqiang Qin, Yi Yang, Tommy Lik Hang Chan, Adrian Budhram, Brief Communications, Maximillian D.J. Fiander, Virender Bhan, Samuel A. Stewart, Natalie Parks, Christine Le, Asuri N. Prasad, C. Anthony Rupar, Derek Debicki, Andrea Andrade, Chitra Prasad, Jennifer Voth, Jason Petro, Michael Mallender, Sonja Bridgen, Sara Mannan, Marla Jackson, Nathania Liem, Lawrence R. Robinson, Ritodhi Chatterjee, Fábio A. Nascimento, Pedro J. Diaz-Marchan, Stephen Chen, Karen Nunez-Wallace, Yosef Ellenbogen, Kaiyun Yang, Jian‐Qiang Lu, K. P. J. Reddy, Cormac Southam, Chris Hahn, Natália Silva, Marcia Delamain, Gislaine Duarte, Fabiano Reis, Stephanie Nevison, Philippe Rizek, Tyler Peikes, Jessica N. Hartley, Aizeddin Mhanni, Cheryl R. Greenberg, Juan Appendino, Robert Chen, Robert Hammond, 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, Jorge G. Burneo, Jodie Burton, Colin Chalk, King Ming Chan, Alan Goodridge, Mark G. Hamilton, Michael D. Hill, Alan A. Jackson, Draga Jichici, Suneil K. Kalia, Daniel Keene, Julia Keith, Nir Lipsman, Patrick McDonald, Joseph Megyesi, Tiago Mestre, Sarah A. Morrow, Michael Nicolle, Ian F. Parney, Narayan Prasad, Alex Rajput, Kesh Reddy, Ramesh Sahpaul, Dipanka Sarma, Madeleine Sharpe, Sean Symons, Brian G. Weinshenker, Sam Wiebe

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Environmental scienceContent (measure theory)Action (physics)Computer scienceMathematicsGeographyPhysicsMeteorologyEngineeringMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

Le Journal Canadien des Sciences Neuorlogiques est publié tous les deux mois.Le prix d'abonnement annuel pour les individus (électronique) est 141£/233US$.Le prix d'abonnement annuel pour les établissements (électronique) est 187£/311US$.Veuillez consulter pour tous les détails, y compris les taxes; email: subscriptions_newyork@cambridge.org.

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 machine prediction

Teacher imitation

Not 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 score0.834
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8340.704

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 head0.030
GPT teacher head0.209
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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
Published2019
Admission routes1
Has abstractyes

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