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Record W4379799025 · doi:10.1016/s0828-282x(23)00392-6

Table of Contents

2023· article· en· W4379799025 on OpenAlexvenueno aff
Micha€ El Chass, Patrick R. Lawler, Douglas S. Lee, Brian W. McCrindle, Yasbanoo Moayedi, Michelle M. Graham, Ameesh Isath, Aaqib Malik, Dhrubajyoti Bandyopadhyay, Akshay Goel, Adrija Hajra, Alan Gass, Gregg C. Fonarow, Deepak L. Bhatt, Finlay A. McAlister, Harsh Parikh, Harindra C. Wijeysundera, Parinaz Parhizgar, Nima Yazdankhah, Anna Rzepka, Kit Yan, Christie Chung, Irfan Ali, Rachel Fat Fur, Victoria Russell, Angela Cheung, Kieran L. Quinn, Grace Y. Lam, Jillian F. Walsh, Anne Bh Ereur, Adam D. Brown, Chung‐Wai Chow, Juthaporn Cowan, Noah Crampton, Simon Ecary, Emilia Liana Falcone, Lorraine Graves, Douglas P. Gross, Kate Hanneman, Paula Harvey, Sheila M. Holmes, Gabrielle Katz, Abdu Sharkawy, Karen C. Tran, Susan Waserman, Vanessa E. Zannella, Mark A. Faghy, Ruth Ashton, Lewis A. Gough, Ross Arena, Carl J. Lavie, Cemal Ozemek, Suze Berkhout, Susan Abbey, Kathleen Sheehan, Lucas C. Godoy, Michael E. Farkouh, Ryan Zarychanski, Rashmin Hira, Jacquie Baker, Tanya Siddiqui, Shaun Ranada, Ateyeh Soroush, Kavithra Karalasingham, Hyeqa Ahmad, Vibhuti Mavai, Luciano Martin, Ayala Valani, Sakina Ambreen, Kate M. Bourne, Matthew G. Lloyd, Carlos A. Morillo, Robert S. Sheldon, Satish R. Raj, Marcus Ståhlberg, Artur Fedorowski, Rebecca Crosier, Tahir S Kafil, David L. Paterson, Justin Lin, Ashraf S. Harahsheh, Geetha Raghuveer, S. Jain, Nadine Choueiter, Luis Martín Garrido‐García, Nagib Dahdah, Michael A. Portman, Nilanjana Misra, Michael Khoury, Marianna Fabi, Matthew D. Elias, Audrey Dionne, Simon Lee, Elif Seda, Selamet Tierney, Jean A. Ballweg, Cedric Manlhiot, Michael D. Fridman, Paul Tsoukas, Aamir Jeewa, Rae S. M. Yeung, Beth Gamulka, Yuan Dong, Rahul Gupta, Srihari S. Naidu, Felicia Liu-Fei, James McKinney, Bruce M. McManus, Marco Zuin, Gianluca Rigatelli, Claudio Bilato, Aldostefano Porcari, Marco C.G. Merlo, Loris Roncon, Gianfranco Sinagra, Ana Beatríz, Borjas Ea, Adriana Luk, Marie‐Claude Beaulieu, Joel Neves Briard, Sharon Chih, Brian Clarke, Martin Albert, C. Arianne Buchan, Daniel Seung Kim, Deepali Kumar, Stuart Smith, J Hirmer Tomas, Solera Rallo, Michael Stubbs, Michael McDonald, Yishay Szekely, Rami Gilead

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)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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.887
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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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