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Michelle M. Graham, Peter G. Guerra, Christopher S. Simpson, Harriette G.C. Van Spall, Writing Panel, Anita Asgar, Filio Billia, Julia Cadrin‐Tourigny, Santabhanu Chakrabarti, Christopher C. Cheung, Annie Dore, Christopher B. Fordyce, Pishoy Gouda, Ansar Mbbch, A. Bassim Hassan, Jessica Krahn, Susanna Luc, Sean McMurtry, Colleen M. Norris, François Philippon, John L. Sapp, Robert S. Sheldon, Candice K. Silversides, Christian Steinberg, David A. Wood, Sean van Diepen, Michel Le May, Patricia Alfaro, Michael Goldfarb, Adriana Luk, Rebecca Mathew, Maude Peretz-Larochelle, Erin Rayner‐Hartley, Juan Russo, Janek Senaratne, Craig Ainsworth, Emilie Belley-Côt, Julie Kromm, Christopher B. Overgaard, Gregory Schnell, Graham C. Wong, Jason A. Roberts, Brandon Chalazan, Jason G. Andrade, Laurent Macle, Stanley Nattel, Rafik Tadros, John A. Staples, Shannon Erdelyi, Ketki Merchant, Candace Yip, Mayesha Khan, Katie MacLure, Donald A. Redelmeier, Herbert Chan, Jeffrey R. Brubacher, Carlos A. Morillo, Changhao Xu, Feng Zhang, Wenbo Chen, Nannan Chen, Yu Zhang, Xiyao Zhu, Yang Liu, Weifeng Jiang, Shaohui Wu, Xu Liu, Mu Qin, George D. Veenhuyzen, Laura E. Mitchell, J. Moss, Malte Kuniss, Hamid Sadri, Oussama M. Wazni, Alicia Sale, Eleni Ismyrloglou, Gian‐Battista Chierchia, Rachelle E. Kaplon, Stuart Mealing, Jamie Bainbridge, Tom Bromilow, Emily Mitchell, Yaariv Khaykin, Chung‐Chuan Chou, Zhiyong Liu, Po-Cheng Chang, Hao-Tien Liu, Hung-Ta Wo, Wen-Chen Lee, Chun‐Chieh Wang, Jung‐Sheng Chen, Chang‐Fu Kuo, Ming‐Shien Wen, Vijay S. Chauhan, Jiang Jiang, Lijie Mi, Keping Chen, Wei Hua, Yangang Su, Wei Xu, Shuang Zhao, Shu Zhang, Jeff S. Healey, Jorge Wong, Norm R.C. Campbell, Donald McKay, Robert J. Petrella, Janusz Kaczorowski, Yuan He, Qiangqiang Li, Chen Zhang, Bradley Keller, Hong Gu, Martin Hosking, Angela Bates, Kazuki Suruga, Hiroto Shimokawahara, Ayane Miyagi, Yoichi Sugiyama, Takeshi Suetomi, Aiko Ogawa, Hiromi Matsubara, Kurt W. Prins, Josh Durbin, Stephen Archer, Alex Hoagland, Jasmin Kantarevic, James Stutely, Harindra C. Wijeysundera, Sandra Lauck, Tej Sheth, Erin Tang, Marta Belmonte, Pasquale Paolisso, Dario Tino Bertolone, Michele Mattia Viscusi, Emanuele Gallinoro, Elayne Kelen de Oliveira, Monika Shumkova, Monika Beles, Giuseppe Esposito, Lucio Addeo, Giulia Botti, Ana Moyá, Attilio Leone, Eric Wyffels, Bernard De Bruyne, Guy Van Camp, Joseph Bartunek, Emanuele Barbato, Martin Pěnička, Marc Vanderheyden, Georgios F. Giannakópoulos, Stéphane Noble, Nowell M. Fine, Owen Litwin, William Kent, Daniel D. Holloway, J. H. B. Roy, Robert F. Miller, Sharon Chih, Ryan Davey, Debra Isaac, Nakul Sharma, Kristin Lyons, Jonathan G. Howlett, Alexandre Dessureault, Emmanuelle Massie, Douglas Fish, Marie-Claude Parent, Ana Beatríz, Borjas Ea, Vesna Mihajlovic, Julie K.K. Vishram‐Nielsen, Darshan H. Brahmbhatt, M Bchir, Fernando Luís Scolari, Vicki N. Wang, Mahrukh Nisar, Nicole Fung, Madison Otsuki, Michael Rheaume, Kevin J. Um, Faizan Amin, Yudai Fujimoto, Yuya Matsue, Daichi Maeda, Nobuyuki Kagiyama, Tsutomu Sunayama, Taishi Dotare, Kentaro Jujo, Kazuya Saito, Kentaro Kamiya, Hiroshi Saito, Yuki Ogasahara, Emi Maekawa, Masaaki Konishi, Takeshi Kitai, K. Iwata, Hiroshi Wada, Masaru Hiki, Takatoshi Kasai, Hirofumi Nagamatsu, Tetsuya Ozawa, Katsuya Izawa, Shuhei Yamamoto, Naoki Aizawa, Kazuki Wakaume, Kazuhiro Oka, Shin‐ichi Momomura, Tohru Minamino, George Heckman, Kari Barnard, Robert S. McKelvie, Ravi V. Shah, Chairil Anwar, C. Anwar A. Chahal, Shaheryar Ranjha, Sharaf Dabbagh, Babken Asatryan, Ivan Limongelli, Mohammed Y Khanji, Fabrizio Ricci, Federica De Paoli, Susanna Meng, Martin Tristani‐Firouzi, Erik K St, Elson So, Virend K. Somers, Hiroyoshi Mori, Teruo Sekimoto, Taito Arai, Rikuo Sakai, Shunya Sato, Takahiro Tezuka, Ayumi Omura, Toshiro Shinke, Hiroshi Suzuki, Brian K. Courtney, J Borges-Rosa, Manuel Oliveira‐Santos, Luís Paiva, L Puga, Ana Botelho, M. Costa, Lino Gonçalves
Bibliographic record
VenueCanadian Journal of Cardiology · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTable (database)Traditional medicineDatabase
Abstract
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 imitationNot 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 score0.111
Threshold uncertainty score0.158
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.889 | 0.818 |
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 head0.198
Teacher spread0.150 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Published2024
Admission routes1
Has abstractno