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Record W4362632593 · doi:10.1016/s0828-282x(23)00218-0

Table of Contents

2023· article· en· W4362632593 on OpenAlexvenueno aff
Christopher B. Fordyce, Andreas H. Kramer, Craig Ainsworth, Jim Christenson, Gary R. Hunter, Julie Kromm, Carmen Soto, Damon C. Scales, Mypinder S. Sekhon, Sean van Diepen, Laura Dragoi, Colin B. Josephson, Demetrios J. Kutsogiannis, Michel Le May, Christopher B. Overgaard, Martin Savard, Gregory Schnell, Graham C. Wong, Emilie Belley-Côt, Tadeu A. Fantaneanu, Christopher B. Granger, Adriana Luk, Rebecca Mathew, Victoria McCredie, Laurel Murphy, Jeanne Teitelbaum, Brian Grunau, Gurmeet Singh, Jan Elohlávek, Demetris Yannopoulos, Joseph E. Tonna, Alice Hutin, Dave Nagpal, Alexis Cournoyer, Madeleine Barker, Konstantin A. Krychtiuk, Carlos L. Alviar, Richard Jung, Pietro Di Santo, Trevor Simard, Simon Parlow, Willy Weng, Omar Abdel‐Razek, Nikita Malhotra, Matthew C. Cheung, Jordan Hutson, Jeffrey A. Marbach, Pouya Motazedian, Michael Thibert, Shannon M. Fernando, Pablo B. Nery, Girish M. Nair, Juan Russo, Benjamin Hibbert, F. Daniel Ramirez, Simon Christie, Marc W. Deyell, Christopher Barnett, Samuel B. Brusca, Thomas C. Hanff, Vanessa Blumer, Adnan Kalif, Manreet Kanwar, Zachary Singer, Marat Slessarev, Daniel Durocher, Michael P. Ward, Jacob C. Jentzer, Jaime Hernández-Montfort, Thomas M. Roston, Derek So, Shuangbo Liu, Akshay Bagai, Shaun G. Goodman, Étienne Couture, Pascal Laferrière-Langlois, Andr� Denault, Martin Girard, Jean Deschamps, Saad Razzaq, Nicolas Lavoie, William Beaubien‐Souligny, Riendeau Geneviève, Felipe Beaulac, Vincent Lecluyse, A. Costescu, Marc Bélliveau, Georges Desjardins, Mahsa Elmi-Sarabi, Ephanie Jarry, Elena Saade, Alexander Calderone, Cristhian Potes, Varinder K. Randhawa, Ana Spataru, Lindsay Jory, Fuad Moussa, Anju Bhardwaj, Indranee Rajapreyar, Caroline R. Gross, David R. Adams, Parth Patel, Robin Varghese, Alexander J. Gregory, Christopher Noss, Rosaleen Chun, Michael Gysel, Christopher Prusinkiewicz, Nicole M. Webb, Meggie Raymond, Jennifer Cogan, Nicolas Rousseau‐Saine, Wing Lam, Gerry van Rensburg, Ahmad Alli, Fábio De Vasconcelos Papa, Koshiro Kanaoka, Yoshitaka Iwanaga, Michikazu Nakai, Yuichi Nishioka, Tomoya Myojin, Shinichiro Kubo, Katsuki Okada, Tsunenari Soeda, Tatsuya Noda, Yasushi Sakata, Yoshihiro Miyamoto, Yoshihiko Saito, Tomoaki Imamura, Dominique Vervoort, Kevin R. An, Guillaume Marquis‐Gravel, Stephen E. Fremes, Peter A. Kavsak, Joshua O. Cerasuolo, Mark Hewitt, Shawn Mondoux, Richard Perez, Hsien Seow, Jinhui Ma, Andrew Worster, Dennis T. Ko, Clare Gilson, Richard Fernandes, J. Kovacs, Daniel Kim, Rakesh Arora, Manabu Maeda, Tsuyoshi Isawa, Suguru Hirose, Shintarou Honda, Taku Honda, Norio Tada, Elmari Neethling, Alice Grassi, Jane Heggie, Luc Londei‐Leduc, Raoul Daoust, Matthieu Heidet, Michael Christian, Adam Greene, François Scarborough, Alexandros Cavayas, Michael Goldfarb

Bibliographic record

VenueCanadian Journal of Cardiology · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTable (database)Traditional medicineDatabase

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 score0.113
Threshold uncertainty score0.161

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)0.8870.813

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 head0.066
GPT teacher head0.201
Teacher spread0.136 · 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
Published2023
Admission routes1
Has abstractno

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