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Record W4362589938 · doi:10.14740/jmc4057

Extracranial Microvascular Complications of Moyamoya Disease Leading to Left Ventricular Systolic Dysfunction

2023· article· en· W4362589938 on OpenAlexvenueno aff
Sohiub N Assaf, Abdallah N Assaf, Muaz N Assaf, J. Michael Taylor, Justin M. Adam, Justin Harrell, Jeffery L. Johnson

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyMoyamoya diseaseInternal medicineDiseaseIschemia

Abstract

fetched live from OpenAlex

Moyamoya disease (MMD) was first used as a descriptor for a steno-occlusive process that affects primarily the internal carotid arteries (ICA) in a bilateral fashion in 1969. Characterized by recurrent ischemic events in the developing brains of young patients, the process is one that often decimates the quality of life of affected individuals. The vascular changes in MMD have been demonstrated to occur in an extracranial manner, thus it is logical to assume that the same steno-occlusive mechanism could induce dysfunction and ischemia in other organ systems. Our case presents a patient with MMD with cardiac manifestations that we suspect may be related to extracranial manifestations of MMD.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.031
GPT teacher head0.324
Teacher spread0.292 · 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 designCase report
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

Citations4
Published2023
Admission routes1
Has abstractyes

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