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Record W2987661875 · doi:10.1093/eurheartj/ehz669

Arrhythmogenic right ventricular cardiomyopathy: evaluation of the current diagnostic criteria and differential diagnosis

2019· article· en· W2987661875 on OpenAlexaff
Domenico Corrado, Peter J. van Tintelen, William J. McKenna, Richard N.W. Hauer, Aris Anastastakis, Angeliki Asimaki, Cristina Basso, Barbara Bauce, Corinna Brunckhorst, Chiara Bucciarelli‐Ducci, Fırat Duru, Perry Elliott, Robert M. Hamilton, Kristina H. Haugaa, Cynthia A. James, Daniel P. Judge, Mark S. Link, Andrea Mazzanti, Luisa Mestroni, Antonis Pantazis, Antonio Pelliccia, Martina Perazzolo Marra, Kalliopi Pilichou, Pyotr G A Platonov, Alexandros Protonotarios, Alessandra Rampazzo, Jeffry E Saffitz, Ardan M. Saguner, Christian Schmied, Sanjay Sharma, Hari Tandri, Anneline S.J.M. te Riele, Gaetano Thiene, Adalena Tsatsopoulou, Wojciech Zaręba, Alessandro Zorzi, Thomas Wichter, Gregory M. Marcus, Hugh Calkins

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute for Health and Care Research
KeywordsMedicineCurrent (fluid)CardiologyDifferential diagnosisInternal medicineCardiomyopathyHeart failurePathology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.297
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations362
Published2019
Admission routes1
Has abstractyes

Explore more

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