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Record W4254707432 · doi:10.1017/s0317167100118219

CJN volume 37 issue 5 Cover and Front matter

2010· article· en· W4254707432 on OpenAlexaffvenue
Cian O 'kelly, Céline Jobin, Pierre Duquette, Jonathan P. Gladstone, Paul D. Cooper, Shawn Hayley, Richard S. McLachlan, J. Henry, Nandavar Shobha, Mohammed Almekhlafi, Aarti Pandya, W Couillard, J Morrish, Corie W. Wei, Walter Montanera, Daniel Selchen, Jackie Lian, Christopher Stevens, Noel De Tilly, Lara Cooke, Werner J. Becker, Suzanne Christie, Rose Giammarco, Marek Gawel, Gordon Mackie, Katie Wiltshire, Luis Concha, Myrlene Gee, Thomas P. Bouchard, Christian Beaulieu, Richard Camicioli, Kira A. Links, Doron Merims, Malcom Binns, Morris Freedman, Tiffany W. Chow, Nadine Akbar, Nancy J. Lobaugh, Paul O’Connor, Linda Moradzadeh, Christopher J.M. Scott, Anthony Feinstein, L. C. Brown, Yanwen Zhang, John C. Mitchell, Rana Zabad, Luanne M. Metz, Matthew J. Meyer, J Keith-Rokosh, Hasini Reddy, Joseph Megyesi, Robert Hammond, C. Ang, Marie‐Christine Guiot, Agnihotram V. Ramanakumar, David Roberge, Petr Kavan, Harmeet Gill, Stephen P. Kraft, Jaya Sanyal, D. Chakraborty, Biswanath Sarkar, Tapas Kumar Banerjee, Chandra Mukherjee, Chandra S. Ray, V. Ashutosh Rao, Liping Xue, Peng Ding, Libo Xiao, Min Hu, Zhulin Hu, Lukas Kus, Brian Rotenberg, Neil Duggal, Shay Menascu, Ismail Mohamed, Shany M. Tshechmer, Manohar Shroff, Miguel A. Cortez, J. T. Keane, Hosam Al-Jehani, Carlos Torres, Judith Marcoux, Neuroimaging Highlights, Albert Tu, T. Yeo, Dirk Steinke, Lothar Resch, Vivek Mehta, Navneet Singh, Aditya Bharatha, Cian O′Kelly, Mark Wallace, Warren Goldstein, Robert A. Willinsky, Richard I. Aviv, Sean Symons, Amal Al-Hashmi, Oliver Nguyen, Rafael Glikstein, Hyman M. Schipper, Kerri Schellenberg, Wendy Johnston, Sanjay Kalra, Edward S. Johnson, Fernando Cabrera-Naranjo, Ayoze González Hernández, Óscar Fabre-Pi, Ana Carolina Lopez-Veloso, Santiago Diaz- Nicolas, Alberto Cubero-Gonzdlez, François Jacob, Vijay Ramaswamy, Hanna Kolski, Yong Cao, Peiyi Gao, Shuo Wang, Jizong Zhao, Muhib Khan, Angelos Katramados, Hirayama Disease, Jennifer R. Tynan, Evan Frangou, Christopher Voll, Rob Otani

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsCanadian Wildlife Federation
Fundersnot available
KeywordsFront coverFront (military)Cover (algebra)Volume (thermodynamics)Environmental scienceGeographyMeteorologyEngineeringPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

Leksell Gamma Knife Perfexion treats multiple brain metastases in a single session, reducing the damage to healthy tissue that may limit future treatment options, and allowing for concomitant chemotherapy for optimum primary tumor control.Find out how Elekta is creating new possibilities for the most challenging cases at elekta.com/proof. Leksell Gamma Knife' PerfexiorT Single-session multiple metsHuman care makes the future possible ELEKTA

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 score0.213
Threshold uncertainty score0.303

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7870.583

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 head0.213
Teacher spread0.183 · 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
Published2010
Admission routes2
Has abstractyes

Explore more

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