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Record W4245094646 · doi:10.1017/cjn.2017.41

CJN volume 44 issue 2 Cover and Front matter

2017· article· en· W4245094646 on OpenAlexvenueno aff
Michel Panisset, Marina Picillo, Nicolas Jodoin, Yu‐Yan Poon, Alejandro Valencia-Mizrachi, Alfonso Fasano, Renato P. Munhoz, Christopher J. Honey, Loretta Norton, Raechelle M. Gibson, Teneille Gofton, Carolyn Benson, Sonny Dhanani, Sam D. Shemie, Laura Hornby, Roxanne Ward, G. Bryan Young, Aravind Ganesh, Kathryn King‐Shier, Braden Manns, Michael D. Hill, David J.T. Campbell, Marcelo Lannes, Frederick A. Zeiler, Céline Guichon, Jeanne Teitelbaum, Jane Mcchesney-Corbeil, Karen Barlow, Hude Quan, Guanmin Chen, Samuel Wiebe, Nathalie Jetté, Ahmad R. Abuzinadah, Lara Cooke, Hyung Ryu, Sonny Chan, Garnette R. Sutherland, Mohamed Kazamel, Christopher Neuroimaging, Jacob Hascalovici, Constantine Farmakidis, Steven Burrell, Andrea L.O. Hebb, Ali Imran, Aditya Mishra, George Mawko, David Clarke, David Μ. Bergeron, Annie Dionne, Raphaël Marchand, Robert Laforce, Sali M.K. Farhan, Robert Bartha, Sandra E. Black, Dale Corbett, Elizabeth Finger, Morris Freedman, Barry Greenberg, David A. Grimes, Robert A. Hegele, Chris Hudson, Peter Kleinstiver, Anthony F. Lang, Mario Masellis, William E. McIlroy, Paula McLaughlin, Manuel Montero‐Odasso, David G. Munoz, Douglas P. Munoz, Stephen C. Strother, Richard H. Swartz, Sean Symons, Maria Carmela Tartaglia, Lorne Zinman, Michael Strong Obituary, Ayoub Dakson, Michael K. Tso, Uzair Ahmed, Mark Bigder, Cameron Elliott, Daipayan Guha, Pascal Lavergne, Serge Makarenko, Christian Iorio‐Morin, Michelle Kameda- Smith, Michael S. Taccone, Bill Wang, Alexander Schwartz, Tejas Sankar, Sean Christie, Carly Scramstad, J. Michael Ellis, Marc R. Del Bigio, Luis Fornazzari, Ann Mansur, Kevin O.M Acuna, Tom A. Schweizer, Corinne E. Fischer, Dong-Kyu Yeo, Kyum-Yil Kwon, Carmen Gasca‐Salas, Ángel Alonso, R. Redondo, José Á. Obeso, Pei-Hsin Kuo, Sheng‐Han Kuo, Raymond Lo, Nicolas Rosine, Pascale Chrétien, Clovis Adam, Guillemette Beaudonnet, Adeline Not, J. Drai, Katayoun Vahedi, Cécile Cauquil, Marie Théaudin, Robert Toronto, Etienne De, Villers-Sidani Montreal, Robert London, Hans Katzberg, A Mañas, Sharma London, Jeanne Montreal, Greg L. Bryan, Young London, Douglas Calgary, James Toronto, Robert Lee, Robert Winnipeg, Jorge G. Burneo, Jodie Burton, Colin Chalk, King Ming Chan, Alan Goodridge, Nl S John's, Mark G. Hamilton, Alan A. Jackson, Draga Jichici, Suneil K. Kalia, Daniel Keene, Julia Keith, Stephen Lownie, Jian‐Qiang Lu, Patrick McDonald, Joseph Megyesi, Tiago Mestre, Sarah A. Morrow, Michael Nicolle, Narayan Prasad, Alex Rajput, Kesh Reddy, Ramesh Sahpaul, Dipanka Sarma, Brian Toyota, Brian G. Weinshenker, Eugene Yu, Andrew Saskatoon

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Content (measure theory)Action (physics)Environmental scienceComputer scienceStatisticsMathematicsGeographyPhysicsEngineeringMeteorologyMechanical engineeringMathematical analysisThermodynamics

Abstract

fetched live from OpenAlex

Inspiring better health, Inspiring a better you, it's better hereCome and join us in our world renowned vacation destination.We have what you are looking fora challenging career, a balanced lifestyle and a four-season playground.Whether it's for the work, the city, the sunshine and nature, or the friendly people, come and experience the many reasons we love living in the Southern Interior of BC.Contact us and let's talk about where you would like to be and which opportunity is right for you!The choice is yours!Looking forward to hearing from you physicianrecruitment@InteriorHealth.

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 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 score0.147
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8530.767

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 head0.046
GPT teacher head0.229
Teacher spread0.184 · 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; 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
Published2017
Admission routes1
Has abstractyes

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