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Record W2786667148 · doi:10.21037/jtd.2018.01.106

Immediate non-culprit vessel percutaneous coronary intervention (PCI) in patients with acute myocardial infarction and cardiogenic shock: a swinging pendulum

2018· letter· en· W2786667148 on OpenAlexaff
Juan Russo, Akshay Bagai, Michel R. Le May, Andrew T. Yan

Bibliographic record

VenueJournal of Thoracic Disease · 2018
Typeletter
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsSt. Michael's HospitalUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsMedicineCulpritCardiogenic shockMyocardial infarctionCardiologyConventional PCIInternal medicinePercutaneous coronary interventionRevascularizationCoronary arteriesCoronary artery diseaseArtery

Abstract

fetched live from OpenAlex

Revascularization of the culprit vessel in patients with acute myocardial infarction (AMI) reduces morbidity and mortality (1,2). Approximately 50% of AMI patients also have significant stenoses in non-infarct related arteries (3). Although multivessel disease is common in patients with AMI and is associated with an increased risk of major adverse cardiovascular events, the management approach to non-infarct related arteries in AMI patients with multivessel disease has not been well established (3,4).

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)0.001
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.009
GPT teacher head0.294
Teacher spread0.285 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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