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Record W4290766515 · doi:10.1016/s0828-282x(22)00451-2

Table of Contents

2022· article· en· W4290766515 on OpenAlexvenueno aff
G. Mancini, Eileen O’Meara, Shelley Zieroth, Mathieu Bernier, Alice Cheng, David Cherney, Kim A. Connelly, Justin A. Ezekowitz, Ronald Goldenberg, Lawrence A. Leiter, Gihad Nesrallah, Breay W. Paty, Marie-Eve Pich, Peter Senior, Abhinav Sharma, Subodh Verma, Vincent Woo, Pol Darras, Jonathan Y. Gabor, Jean Gr Egoire, Eva Lonn, James A. Stone, Jean‐François Yale, Colin Yeung, Deborah Zimmerman, Michael Khoury, Jean‐Luc Bigras, Elizabeth Cummings, Kevin M. Harris, Robert A. Hegele, Elanie Henderson, Katherine M. Morrison, Julie St‐Pierre, Peter J. Wong, Brian W. McCrindle, Benjamin Hobbes, Selai Akseer, Aleksandra Pikula, Ella Huszti, P.J. Devereaux, Eric Horlick, Lusine Abrahamyan, Muhammad Ali, Donna Fitzpatrick‐Lewis, Ruth Lewis, Milos Jovkovic, Diana Sherifali, Simon Parlow, Willy Weng, Pietro Di Santo, Richard Jung, Melissa Lepage-Ratte, Pouya Motazedian, Graeme Prosperi-Porta, Omar Abdel‐Razek, Trevor Simard, V. S. Chan, Marino Labinaz, Michael Froeschl, Rebecca Mathew, Benjamin Hibbert, Nicholas Chew, Audrey Zhang, Joy Ong, Sophie Koh, Gwyneth Kong, Yeung Ho, Oliver Lim, Yip Han Chin, Chaoxing Lin, Andie Hartanto Djohan, Ivandito Kuntjoro, William Kong, Jimmy Kim Fatt Hon, Chi‐Hang Lee, Mark Y. Chan, Tiong-Cheng Yeo, Huay Cheem Tan, Kian Keong Poh, Poay Huan Loh, Paul Guedeney, Jules Mesnier, Michel Zeitouni, Marie Hauguel‐Moreau, Johanne Silvain, Christine Houde, Alberto Alperi, Vassili Panagides, Jean‐Philippe Collet, Thomas Wallet, Ephanie Rouanet, Nadjib Hammoudi, Josep Rod Es-Cabau, Gilles Montalescot, Tasuku Terada, Lisa M. Cotie, Heather Tulloch, Matheus Mistura, Sol Vidal‐Almela, Carley O’Neill, Robert I. Reid, Andrew Pipe, Jennifer L. Reed, Bindee Kuriya, Shadi Akhtari, Mohammad Movahedi, Jacob A. Udell, Patrick R. Lawler, Michael E. Farkouh, Edward Keystone, Kate Hanneman, Elsie T. Nguyen, Paula Harvey, Lihi Eder, Bingbing Fan, Tao Zhang, Shengxu Li, Yinkun Yan, Lijun Fan, Lydia Bazzano, He Jiang, Wei Chen, Emmanuel Akintoye, Mohamed Salih, Kent Aje, Paulino Álvarez, Frank W. Sellke, Αlexandros Briasoulis, Sharmila Dorbala, Clarissa C. Yu, Ciara Pendrith, Soohun Chun, Kevin R. Bainey, Alexandra Bastiany, Eric Cohen, Janine Eckstein, Basem Elbarouni, Michelle M. Graham, Bakhtiar Kidwai, Andrea Lavoie, Shuangbo Liu, Samer Mansour, Alexis Matteau, Blair J. O’Neill, Janarthanan Sathananthan, Matthew Sibbald, Robert Welsh, Mina Madan, Karan Rao, Emily Granger, Danny Dvir, Peter Fahmy, Jiabo Shen, L. L. Jiang, Xiaojie Cai, Hao Wu, Lifang Pan, Kensuke Matsushita, Marion Kibler, Floriane Zeyons, S. Hess, Olivier Morel, Patrick Ohlmann

Bibliographic record

VenueCanadian Journal of Cardiology · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
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)0.008
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 score0.112
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.000
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8880.815

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 head0.048
GPT teacher head0.185
Teacher spread0.137 · 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
Published2022
Admission routes1
Has abstractno

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