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Record W2886236562

Physiology, Jugular Venous Pulsation

2019· article· en· W2886236562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStatPearls · 2019
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsTrillium Health CentreUniversity of Toronto
Fundersnot available
KeywordsSuperior vena cavaMedicineCentral venous pressureVenous ValvesInternal jugular veinHemodynamicsBlood flowRight atriumJugular veinVenous bloodCardiologyVenous pressureSubclavian veinExternal jugular veinVeinInternal medicineBlood pressureAnatomySurgeryHeart rate
DOInot available

Abstract

fetched live from OpenAlex

Running along the sternocleidomastoid muscle, the internal jugular vein (IJV) provides deoxygenated blood directly to the right atrium (RA). Although there is a functional valve bordering the superior vena cava (SVC) and RA, this valve does not appear to hinder the phasic flow of blood to the RA. Therefore, the pulsations that can be observed at the level of the IJV can provide valuable insight into the hemodynamics of blood at the level of the RA. The importance of the relationship between the IJV and RA provides healthcare professionals with an invaluable physical examination tool. The bedside examination of the jugular venous pulse (JVP) can be used to determine the central venous pressure (CVP), venous pulse contour, and many cardiac pathologies.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.005
GPT teacher head0.258
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