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Record W4297580852 · doi:10.4244/eij-d-22-00599

In-hospital outcomes and temporal trends of percutaneous coronary interventions for chronic total occlusion

2022· article· en· W4297580852 on OpenAlexaff
Bahadir Simsek, Judit Karácsonyi, Khaldoon Alaswad, Oleg Krestyaninov, Dmitrii Khelimskii, Dimitri Karmpaliotis, Farouc A. Jaffer, Jaikirshan Khatri, Paul Poommipanit, James W. Choi, Wissam Jaber, Stéphane Rinfret, William Nicholson, Mitul Patel, Ehtisham Mahmud, Philip Dattilo, Şevket Görgülü, Michael Koutouzis, Ioannis Tsiafoutis, Basem Elbarouni, Abdul Malik Sheikh, Barry F. Uretsky, Ahmed ElGuindy, Brian Jefferson, Taral Patel, Jason Wollmuth, Robert F. Riley, Stewart M. Benton, Rhian Davies, Raj Chandwaney, Catalin Toma, Robert W. Yeh, Daniel Schimmel, Nidal Abi Rafeh, Ömer Göktekín, Jimmy Kerrigan, Olga Mastrodemos, Bavana V. Rangan, Santiago García, Yader Sandoval, M. Nicholas Burke, Emmanouil S. Brilakis

Bibliographic record

VenueEuroIntervention · 2022
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsSt. Boniface Hospital
Fundersnot available
KeywordsMedicinePsychological interventionPercutaneousPercutaneous coronary interventionCoronary occlusionCardiologyInternal medicineOcclusionEmergency medicineIntensive care medicineMyocardial infarctionNursing

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.318
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations30
Published2022
Admission routes1
Has abstractno

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