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Levator claviculae muscle discovered during physical examination for cervical lymphadenopathy

2000· article· en· W1976593813 on OpenAlexaff
Julie L. Rosenheimer, John Loewy, Scott Lozanoff

Bibliographic record

VenueClinical Anatomy · 2000
Typearticle
Languageen
FieldDentistry
TopicOral and Maxillofacial Pathology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineClavicleSternocleidomastoid muscleAnatomySagittal planeCoronal planeMagnetic resonance imagingRadiographyPhysical examinationRadiology

Abstract

fetched live from OpenAlex

During a routine physical examination of an adult female with a history of breast cancer and cervical lymphadenopathy, a mass was noted in the right supraclavicular region. The mass was unilateral and easily palpable along the superior border near the median aspect of the clavicle. Plain film radiography, performed to determine whether the mass represented an enlarged jugulo-omohyoid lymph node, revealed an elongated opaque mass in this region. Computed tomographic (CT) and magnetic resonance (MR) images were subsequently obtained. Sequential axial CT scans revealed a cylindrical mass that appeared to be independent of contiguous muscles, including the sternocleidomastoid, anterior, and middle scalene muscles. This mass attached inferiorly to the clavicle and superiorly to the transverse process of the sixth cervical vertebra. Sagittal, coronal, and axial MR scans confirmed the presence of a well-defined superficial mass. It is concluded that the mass represents a levator claviculae (cleidocervical) muscle. This observation underscores the importance of understanding soft tissue variants that may be encountered during a routine physical examination.

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)0.005
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.363
Teacher spread0.335 · 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

Citations19
Published2000
Admission routes1
Has abstractyes

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