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Record W4312746352 · doi:10.5114/aic.2022.120373

Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction

2022· article· en· W4312746352 on OpenAlexaboutno aff
Michał Chyrchel, Natalia Maruszak, Weronika Pilch, Artur Pawlik, Stanisław Bartuś

Bibliographic record

VenueAdvances in Interventional Cardiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInterventional cardiologyAngioplastyMyocardial infarctionCardiologyInternal medicineStentPercutaneousPercutaneous coronary interventionPrimary angioplastyCoronary stentRestenosis

Abstract

fetched live from OpenAlex

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Chyrchel M, Maruszak N, Pilch W, Pawlik A, Bartuś S. Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2022. doi:10.5114/aic.2022.120373. APA Chyrchel, M., Maruszak, N., Pilch, W., Pawlik, A., & Bartuś, S. (2022). Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. https://doi.org/10.5114/aic.2022.120373 Chicago Chyrchel, Michał, Natalia Maruszak, Weronika Pilch, Artur Pawlik, and Stanisław Bartuś. 2022. "Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction". Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. doi:10.5114/aic.2022.120373. Harvard Chyrchel, M., Maruszak, N., Pilch, W., Pawlik, A., and Bartuś, S. (2022). Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. https://doi.org/10.5114/aic.2022.120373 MLA Chyrchel, Michał et al. "Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction." Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej, 2022. doi:10.5114/aic.2022.120373. Vancouver Chyrchel M, Maruszak N, Pilch W, Pawlik A, Bartuś S. Perfect optimization during coronary stent implantation – is it always beneficial? Staged primary percutaneous coronary angioplasty in a young patient with acute myocardial infarction. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2022. doi:10.5114/aic.2022.120373.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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 designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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