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Record W4246864326 · doi:10.1017/cjn.2020.72

CJN volume 47 issue 3 Cover and Front matter

2020· article· en· W4246864326 on OpenAlexaffvenue
H Park, Jaejung Lee, Young-Min Park, Antonella Macerollo, Jyotpal Singh, John Patrick, Moira K. Kapral, Ruth Hall, Peter Gozdyra, Amy Yu, Albert Jin, Cally Martin, Frank L. Silver, Richard H. Swartz, Douglas G. Manuel, Jiming Fang, Joan Porter, Julius Koifman, Peter C. Austin, Marie-Claude Beaulieu, Ahmad Nehme, F. Fortin, Fatine Karkri, Yan Deschaintre, Laura Gioia, Grégory Jacquin, Alexandre Y. Poppe, Christian Stapf, Céline Odier, Abdel-Halim Hafez Elamy, Ashfaq Shuaib, Keumhee C. Carrière, Thomas Jeerakathil, Jennifer Wong, Andrew Kirk, Landon Perlett, Chandima Karunanayake, Debra Morgan, Megan E. O’Connell, Wenying Xu, Hongxia Li, Chencheng Zhang, Bomin Sun, Yiwen Wu, Dianyou Li, Vikram Karnik, Nicole Farcy, Carolina Zamorano, Verónica Bruno, Sherifa A. Hamed, Khaled Mohamed, A. R. A. El-Hameed, Ehab M. Moussa, Hossam Abozaid, Anthony E. Lang, Amany Abdel-Rahman Mohamed, Jacklin Moussa, Kenneth C. Holmes, David F. Tang‐Wai, Kevin Sam, Larissa McKetton, Julien Poublanc, Adrian P. Crawley, Olivia Sobczyk, Mélanie Cohn, James Duffin, Maria Carmela Tartaglia, Sandra E. Black, Joseph A. Fisher, Bruce A. Wasserman, David J. Mikulis, Juan S. Bottan, Ana Suller Martí, Andrew G. Parrent, Keith W. MacDougall, Richard S. McLachlan, Jorge G. Burneo, David A. Steven, Ka Loong, Kelvin Au, Sarah Latonas, Afshin Shameli, Iwona Auer, Christopher Hahn, Kaiyun Yang, Kesava Reddy, Yosef Ellenbogen, Bill Wang, Michel W. Bojanowski, Jian‐Qiang Lu, Neuroimaging Highlights, Aaron Switzer, Benjamin Béland, Justyna R. Sarna, Alison Walzak, Gerald Pfeffer Brief, Chelsea E. Smith, Canada Consortium, Marie‐Josée Dicaire, Bernard Brais, Roberta Piana Clinical Neuropathological, Foziah Alshamrani, Doug Zochodne, Kristopher D. Langdon, Sachin Pandey, Cyn Lee, K. Kian Ang, David MacDougall, Sarah Macdonald, Anthony Morrow, Jane Liao, David Pellerin, Benjamin Ellezam, Pat Korathanakhun, M. Renaud, Léo Pilote, Jake Levy, Jason Karamchandani, Simon Ducharme, Rami Massie, Viviana Nociti, Chiara Picarelli, Francesco Losavio, Giuseppe Reale, Gabriele Giuliano, Giacomo Della Marca, Mario Tumbarello, Grayson Beecher, Brendan Putko, Amanda Wagner, Ryan Hung, Cecile Phan, Sanjay Kalra, A. Laurence Kennedy, Tyson Brust, Weiqiao Liu, Carlos R. Cámara-Lemarroy, Alick Wang, Tanishq Suryavanshi, Maura Marcucci, Crystal Fong, Anthony Whitton, Albert Hu, Aaron Chan, Jonathan A. Micieli, Robert Chen, Robert Hammond, Philippe Hout, Mahendranath Moharir, Tejas Sankar, Manas Sharma, Jeanne Teitelbaum, Richard Wennberg

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsCanadiana.org
Fundersnot available
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Environmental scienceGeographyMeteorologyEngineeringPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

dB 65 dB 75 dB 85 dB 95 dB Primary auditory cortex Raphe nuclei Serotonergic neurotransmission 500 (ms) Pretreatment, N1/P2 amplitude (µV) (µV) LDAEP: Summation of cortical excitatory and inhibitory postsynaptic potentials

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)0.001
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 score0.218
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7820.547

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 head0.213
Teacher spread0.167 · 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
Published2020
Admission routes2
Has abstractyes

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