New Insights Into Genetic Right Ventricular Cardiomyopathies
Bibliographic record
Abstract
Inherited right ventricular disease in the form of arrhythmogenic right ventricular cardiomyopathy (ARVC) was first described 40 years ago. The ARVC-causing genes have progressively been identified from the year 2000, accompanied by a robust journey of deep phenotyping. The explosion of genotype and phenotype data coupled with a collaborative spirit in the ARVC community has led to an immense advance in our understanding of the various faces of this disease, with a recent focus on gene-specific phenotypes and risk assessment and mitigation. The modern cardiogenetic team has a wealth of information that informs the biology of the disease, its phenotypic expression, and the processes of care to detect the presence and progression of disease. Gene-specific considerations will raise the bar in precision medicine applied to diagnosis, natural history, and potentially curative interventions with targeted small molecules and gene therapy. This is an exciting time for the ARVC collaborative community to usher in a new era in changing the course of ARVC for patients and their families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".