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Record W4210990979 · doi:10.1002/9781118742440.ch35

Hypertrophic Cardiomyopathy

2016· other· en· W4210990979 on OpenAlexaff
Colin J. McMahon, J. Ganame

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHypertrophic cardiomyopathyCardiologyMedicineInternal medicineMuscle hypertrophyLeft ventricular hypertrophyConcentric hypertrophyCardiomyopathySudden deathDiseaseSudden cardiac deathHeart failureBlood pressure

Abstract

fetched live from OpenAlex

Hypertrophic cardiomyopathy (HCM), a sarcomeric disease, is defined as myocardial left ventricular hypertrophy (LVH) in the absence of other cardiac disease. It may be a primary disorder or secondary to metabolic or genetic conditions. HCM is the most common cardiomyopathy responsible for sudden cardiac death in children and young adults. Echocardiography is the primary diagnostic modality and may demonstrate asymmetric septal hypertrophy, concentric LVH, apical hypertrophy or isolated posterior wall hypertrophy. Other diagnostic modalities including tissue Doppler imaging, strain and strain rate imaging, CMR and stress echocardiography may provide additional diagnostic and prognostic information. Differentiation of HCM from athletic heart is important and challenging. Familial screening of the nuclear family is warranted in HCM given the genetic predisposition to the 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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0540.017

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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

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