MétaCan
Menu
Back to cohort
Record W4414091172 · doi:10.63600/c18g1321

Amiloidosis cardiaca

2022· article· en· W4414091172 on OpenAlexaff
Mariano Napoli, Atilio Costa Vitali, Lilia L Lobo Marquez

Bibliographic record

VenueRevista de la Federación Argentina de Cardiología · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsHealth Sciences North
Fundersnot available
KeywordsCardiac amyloidosisHeart failureAmyloidosisAmyloid (mycology)DiastoleEjection fractionDiastolic heart failure

Abstract

fetched live from OpenAlex

Amyloidosis is a deposition disease, a consequence of the accumulation of amyloid protein fibers in the extracellular space of organs and soft tissue. There are more than 30 precursor proteins, with an unstable tertiary structure that fold, aggregate and deposit. Specifically, cardiac amyloidosis (CA) is a type of restrictive cardiomyopathy, in which the infiltration of amyloid fibers into myocardial tissue produces progressive ventricular stiffness, wall-thickening and diastolic dysfunction due to restrictive physiology, which typically manifests as heart failure with preserved ejection fraction. CA can clinically simulate other cardiovascular diseases, and recognizing “red flags” continues to be the main clinical challenge, being the first step towards a definitive diagnosis. The use of non-invasive techniques allows the early identification and treatment of this disease, the incidence and prevalence of which are still uncertain.

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 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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.007
GPT teacher head0.263
Teacher spread0.256 · 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
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

Explore more

Same venueRevista de la Federación Argentina de CardiologíaSame topicAmyloidosis: Diagnosis, Treatment, OutcomesFrench-language works237,207