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Record W4214670197 · doi:10.1016/s0828-282x(22)00094-0

Table of Contents

2022· article· en· W4214670197 on OpenAlexvenueno aff
Amanda J. Berberich, Nils Perrin, Anita Asgar, Guillaume Marquis‐Gravel, Harold Lazar, Éric Thorin, Nathalie Thorin‐Trescases, Robert Avram, Mihir Parikh, Michael A. Seidman, Gavin Y. Oudit, Gabrielle Roy, Patrick Couture, Jacques Genest, Isabelle L. Ruel, Alexis Baass, Jean Bergeron, Diane Brisson, Liam R. Brunham, Lubomira Cermakova, Daniel Gaudet, Étienne Khoury, Nathalie Laflamme, Brooke A. Kennedy, Robert A. Hegele, Jean‐Philippe Drouin‐Chartier, Andrea Scotti, Andrea Munafò, Marianna Adamo, Maurizio Taramasso, Paolo Denti, Antonio Sisinni, Nicola Buzzatti, Stefano Stella, Francesco Ancona, G Zaccone, Dario Cani, Matteo Montorfano, Alessandro Castiglioni, Michele De Bonis, Ottavio Alfieri, Azeem Latib, Antonio Colombo, Eustachio Agricola, Francesco Maisano, Marco Metra, Alberto Margonato, Cosmo Godino, Yvonne Bach, Lusine Abrahamyan, Douglas S. Lee, Christoffer Dharma, Jennifer Day, John D. Parker, Lee Benson, Mark Osten, Eric Horlick, Ziv Dadon, Nir Levi, Amir Orlev, Daniel Belman, Evan Avraham Alpert, Michael Glikson, Shmuel Gottlieb, Adi Butnaru, Emmeline Ruka, Olivier Lesur, Michel Gingras, Mara Buruian, Émile Voisine, Mohamed Marzouk, François Dagenais, Pierre Voisine, Dror B. Leviner, Guy Witberg, Amos Levi, Uri Landes, Naama Schwartz, Avinoam Shiran, Ran Kornowski, Erez Sharoni, Mehrdad Emami, Thomas A. Agbaedeng, Gijo Thomas, Melissa E. Middeldorp, Anand Thiyagarajah, Christopher K. Wong, Adrian D. Elliott, Celine Gallagher, Jeroen Hendriks, Dennis H. Lau, Prashanthan Sanders, Aviram Hochstadt, Tamar Itach, Ilan Merdler, Eihab Ghantous, Tomer Ziv‐Baran, Moshe Leshno, Shmuel Banai, Maayan Konigstein, Sanela Music, Ariana Szilágyi, Michael Chetrit, Takashi Yokota, Hiroaki Koiwa, Shouji Matsushima, Shingo Tsujinaga, Masanao Naya, Hiroko Morisaki, Takayuki Morisaki, Arif Khokhar, Adriana Złahoda-Huzior, Maciej Stanuch, Francesco Ponticelli, Rossella Ruggiero, Kailash Chandra, Won‐Keun Kim, Francesco Giannini, Dariusz Dudek, Alvise Del Monte, Martina Perazzolo Marra, Francesco Cardaioli, Gino Gerosa, Sabino Iliceto, Luisa Cacciavillani, Raffaella Motta, Annalisa Angelini, Marny Fedrigo, Manuel De Lazzari

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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