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Record W4416093441 · doi:10.1007/s00395-025-01142-9

Correction: IMproving Preclinical Assessment of Cardioprotective Therapies (IMPACT): a small animal acute myocardial infarction randomized-controlled multicenter study on the effect of ischemic preconditioning

2025· erratum· en· W4416093441 on OpenAlexaff
Sauri Hernández‐Reséndiz, Reinis Vilšķe̅rsts, David Aluja, Ioanna Andreadou, Péter Bencsik, Maija Dambrova, Panagiotis Efentakis, Fei Gao, Zoltán Giricz, Gábor B. Brenner, Nabil V. Sayour, Tamás G. Gergely, András Makkos, Javier Inserte, Róisín Kelly‐Laubscher, Attila Kiss, Thomas Krieg, Brenda R. Kwak, Sandrine Lecour, Gary D. Lopaschuk, Michał Ma̧czewski, Michał Waszkiewicz, Marta Oknińska, Pasquale Pagliaro, Bruno K. Podesser, Hiran A. Prag, Marisol Ruiz‐Meana, Tamara Szabados, Coert J. Zuurbier, Péter Ferdinandy, Derek J. Hausenloy

Bibliographic record

VenueBasic Research in Cardiology · 2025
Typeerratum
Languageen
FieldMedicine
TopicCardiac Ischemia and Reperfusion
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIschemic preconditioningMyocardial infarctionMulticenter studyCardioprotectionClinical trialInfarction

Abstract

fetched live from OpenAlex

In the original article co-authors Gábor B. Brenner, András Makkos, Tamás G. Gergely and Nabil V. Sayour were missing from the author group due to an administrative error on the authors’ part. The authors contributed significantly to the study by generating all data from R-site 1 (see Fig. 3 and Supplementary Fig. 2).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.402
Teacher spread0.372 · 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 teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

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

Citations1
Published2025
Admission routes1
Has abstractyes

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