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Record W4242177483 · doi:10.1016/s0828-282x(18)30337-4

Table of Contents

2018· article· en· W4242177483 on OpenAlexvenueno aff
Yasbanoo Moayedi, Mosaad Alhussein, Juan Duero Posada, Stella Kozuszko, Kiran K. Khush, Jeffrey J. Teuteberg, Mitesh Badiwala, Heather J. Ross, Jorge Wong, Jeff S. Healey, Andrew S. Mackie, Étienne Couture, Thao Huynh, Xiao Zhen Zhou, Paaladinesh Thavendiranathan, Mani A. Vannan, Christopher Labos, George Thanassoulis, Hailey R. Banack, S. Harper, Jay S. Kaufman, Branka Vulesevic, Martin G. Sirois, Bruce G. Allen, Simon de Denus, Michel Bpharm, Atsuko Kato, Juan Sandoval, Dariusz Mroczek, Biomed Eng, Rajiv Chaturvedi, M Bchir, Helene Houle, Bogdan Georgescu, Shi‐Joon Yoo, Lee Benson, Kyong‐Jin Lee, Yaron Arbel, Dennis T. Ko, Andrew T. Yan, Warren J. Cantor, Akshay Bagai, Maria Koh, María Eberg, Mary Tan, David Fitchett, Bjug Borgundvaag, John Ducas, Michael Heffernan, Laurie Morrison, Anatoly Langer, Vladimír Džavík, Shamir R Mehta, Shaun G. Goodman, Caroline E. Gebhard, Cathérine Gebhard, Foued Maafi, Marie-Jeanne Bertrand, Barbara E. Stähli, Karin Wildi, Zurine Galvan, Aurel Toma, Zheng Zhang, David Smith, Hung Q. Ly, Kevin Haddad, Jean‐François Tanguay, Brian J. Potter, Alexis Matteau, François Gobeil, Samer Mansour, Aly Ghoneim, Ismail Bouhout, Katie L. Losenno, Nancy Poirier, Raymond Cartier, Philippe Demers, Michaël Tousch, Linruo Guo, Michael Chu, Ismaı̈l El-Hamamsy, Adrienne Kovacs, Sherry L. Grace, Amanda C. Kentner, Robert L. Nolan, Candice K. Silversides, M. Jane Irvine, Lorne J. Gula, Damian Redfearn, Krista M. Bray Jenkyn, Britney Allen, Allan C. Skanes, Peter Leong‐Sit, Salimah Z. Shariff, Shoko Suda, Takatoshi Kasai, Hiroki Matsumoto, Nanako Shiroshita, Mitsue Kato, Fusae Kawana, Shoichiro Yatsu, Azusa Murata, Takao Kato, Masaru Hiki, Shuo-Ju Chiang, Sakiko Miyazaki, Hiroyuki Daida

Bibliographic record

VenueCanadian Journal of Cardiology · 2018
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTable (database)Database

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007
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 score0.113
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.000
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8870.827

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 head0.010
GPT teacher head0.199
Teacher spread0.188 · 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
Published2018
Admission routes1
Has abstractno

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