MétaCan
Menu
Back to cohort
Record W4205902905 · doi:10.1001/jamacardio.2021.2051

Error in Figure

2021· erratum· en· W4205902905 on OpenAlexaff
Kevin Alexander, Sharmila Dorbala

Bibliographic record

VenueJAMA Cardiology · 2021
Typeerratum
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsCircle Cardiovascular Imaging
FundersAlnylam PharmaceuticalsPfizer
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

tality rate seen in Black individuals in the study by Sidney et al. 1 Despite the high prevalence of ATTR cardiomyopathy among elderly individuals and high age-adjusted mortality from amyloidosis in Black individuals, cardiac amyloidosis remains significantly underdiagnosed.4 In 2019, the US Food and Drug Administration approved tafamidis, the first diseasemodifying drug for ATTR cardiomyopathy, which significantly reduces mortality and cardiovascular hospitalizations.5 Therefore, it is imperative that we improve the diagnosis of this treatable disease.

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)0.006
metaresearch head score (Gemma)0.114
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.114
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.007
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0030.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.3920.209

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 head0.286
Teacher spread0.266 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJAMA CardiologySame topicLipoproteins and Cardiovascular HealthFrench-language works237,207