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Record W4317931674 · doi:10.5114/aic.2023.124361

Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration

2022· article· en· W4317931674 on OpenAlexaboutno aff
Leszek Drabik, Adam Mazurek, Łukasz Czyż, Łukasz Tekieli, Wojciech Szot, Ewa Kwiecień, Robert Banyś, Małgorzata Urbańczyk‐Zawadzka, Eliza Borkowska, Anna Kozynacka, Maciej Skubera, Marzena Brzyszczyk-Marzec, Magdalena Kostkiewicz, Marcin Majka, Piotr Podolec, Piotr Musiałek

Bibliographic record

VenueAdvances in Interventional Cardiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
FundersNarodowe Centrum Badań i RozwojuNational Center for Research and DevelopmentUniwersytet Jagielloński Collegium Medicum
KeywordsMedicineMesenchymal stem cellRandomized controlled trialCohortModality (human–computer interaction)Regeneration (biology)Internal medicinePathologyArtificial intelligence

Abstract

fetched live from OpenAlex

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Drabik L, Mazurek A, Czyż Ł, et al. Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2023. doi:10.5114/aic.2023.124361. APA Drabik, L., Mazurek, A., Czyż, Ł., Tekieli, Ł., Szot, W., & Kwiecień, E. et al. (2023). Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. https://doi.org/10.5114/aic.2023.124361 Chicago Drabik, Leszek, Adam Mazurek, Łukasz Czyż, Łukasz Tekieli, Wojciech Szot, Ewa Kwiecień, and Robert Paweł Banyś et al. 2023. "Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration". Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. doi:10.5114/aic.2023.124361. Harvard Drabik, L., Mazurek, A., Czyż, Ł., Tekieli, Ł., Szot, W., Kwiecień, E., Banyś, R., Urbańczyk-Zawadzka, M., Borkowska, E., Kozynacka, A., Skubera, M., Brzyszczyk-Marzec, M., Kostkiewicz, M., Majka, M., Podolec, P., and Musiałek, P. (2023). Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. https://doi.org/10.5114/aic.2023.124361 MLA Drabik, Leszek et al. "Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration." Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej, 2023. doi:10.5114/aic.2023.124361. Vancouver Drabik L, Mazurek A, Czyż Ł, Tekieli Ł, Szot W, Kwiecień E et al. Multi-modality imaging in the CIRCULATE-AMI pilot study cohort: a framework for an imaging-based randomized controlled trial of Wharton jelly mesenchymal stem cell use to stimulate myocardial repair/regeneration. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2023. doi:10.5114/aic.2023.124361.

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 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)0.292
metaresearch head score (Gemma)0.270
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.292
Threshold uncertainty score0.873

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2920.270
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.010
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0040.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.358
Teacher spread0.322 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations3
Published2022
Admission routes1
Has abstractyes

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