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Record W4242218873 · doi:10.1017/cjn.2019.283

CJN volume 46 issue 5 Cover and Front matter

2019· article· en· W4242218873 on OpenAlexaffvenue
Richard Leblanc, Stephen Lownie, Karel G. terBrugge, Bernard Lawless, Allison A. Dilliott, Emily C. Evans, Sali M.K. Farhan, Mahdi Ghani, Christine Sato, Ming Zhang, Adam Mcintyre, Henian Cao, Lemuel Racacho, John G. Robinson, Michael J. Strong, Mario Masellis, Dennis E. Bulman, Ekaterina Rogaeva, Sandra E. Black, Elizabeth Finger, Andrew Frank, Morris Freedman, Ayman Hassan, Anthony F. Lang, Christen Shoesmith, Richard H. Swartz, David F. Tang‐Wai, Maria Carmela Tartaglia, John Turnbull, Lorne Zinman, ONDRI Investigators, Robert A. Hegele, Howard Chertkow, Michael Borrie, Victor Whitehead, Howard Feldman, Serge Gauthier, David Hogan, Katherine S. McGilton, Kenneth Rockwood, Mary C. Tierney, Melissa K. Andrew, Ging‐Yuek Robin Hsiung, Richard Camicioli, Eric E. Smith, Jennifer Fogarty, Joseph Lindsay, Sarah Best, Alan C. Evans, Samir Das, Zia Mohaddes, Randi Pilon, Judes Poirier, Natalie A. Phillips, Elizabeth MacNamara, Roger A. Dixon, Simon Duchesne, Ian R. Mackenzie, R. Jane Rylett, Reddy Leema, Phillip Peddareddygari, Philip I. Kramer, M. C. Hanna, Raji Levenstien, Amy E. Powell, Bridget A. Fernandez, Falah Maroun, Barbara Noble, Michael Woods, Niraj Kumar, Aditya Murgai, Mandar Jog, Crystal Fong, Sameer Parpia, Brian Yemen, Scott S. Tsai, Jeffrey Greenspoon, Jai Jai, Shiva Shankar, Roah Merdad, Stephanos Finitsis, Robin Parker, Christine Saint‐Martin, Sergio Apuzzo, Ayat Salman, Jean‐Pierre Farmer, Merrick S. Fallah, Binod Neupane, Al Nassar, Rajesh RamachandranNair, Kevin Jones, Lauren Strasser, Serena L. Orr, Hugh J. McMillan, Asif Doja, David Callen, John Bernstein, Matthew Calamia, Shelly Mullenix, Miguel Quintas-Neves, Eduardo Freitas, José Manuel Amorim, Jaime Rocha, João Pinho, Mimma Anello, Timothy L. Miao, Sachin Pandey, Jennifer Mandzia, Adrian Budhram, Ryan Taylor, Jeff Fuller, Jorge G. Burneo, J Knox, Stephen Pasternak, Natalie Le Sage, Pier‐Alexandre Tardif, Jérôme Frenette, Marcel Émond, Jean‐Marc Chauny, Lynne Moore, Patrick Archambault, Jeffrey J. Perry, Antoine Boulanger‐Piette, Derrick Soh, Alfonso Fasano, Rita Formisano, Marianna Contrada, Marco Iosa, Giulia Ferri, Sara Schiattone, Marta Aloisi, Steven Nobile, Salini Thulasirajah, Sunita Venkateswaran, François Mathieu, Fan Jiang, Jamie Wilson, Phedias Diamandis, David Choi, Peter Vajkoczy, Michael Fehlings Reflections, Luanne M. Metz, Carlos R. Cámara-Lemarroy, Danah Abo, Al Samh, Matthew Boyko, Jessica Jenkins, Jonathan D. Krett, Michael Yeung, Arunmozhimaran Elavarasi, Nirupama Kasturi, Balachandran Mani, Ece Bayram, Elif Peker, Silke Metzger, Cenk Akbostancı, R. M. Ogilvie, Hanna Kolski, Tommy Lik, Hang Chan, David Kim, Manas Sharma, Amado Jiménez‐Ruiz, Alejandro Gutiérrez-Castillo, José Luis Ruíz‐Sandoval

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 institutionsNovartis (Canada)
FundersUniversity of Cambridge
KeywordsFront coverCover (algebra)Front (military)Volume (thermodynamics)Action (physics)Content (measure theory)Environmental scienceComputer scienceGeographyMathematicsEngineeringPhysicsMeteorologyMechanical engineering

Abstract

fetched live from OpenAlex

How many is too many?For patients with at least 4 migraine days per month, consider Aimovig ® Novartis

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)0.004
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 score0.403
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5970.397

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; 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
Published2019
Admission routes2
Has abstractyes

Explore more

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