MétaCan
Menu
Back to cohort
Record W2894935069 · doi:10.14740/jmc.v9i10.3164

Sclerosing Spindle Cell Preauricular Rhabdomyosarcoma in a 7-Year-Old Female

2018· article· en· W2894935069 on OpenAlexvenueno aff
Niki Parikh, Winslo Idicula, Joehassin Cordero

Bibliographic record

VenueJournal of Medical Cases · 2018
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEmbryonal rhabdomyosarcomaRhabdomyosarcomaMalignancyPathologyHead and neckSoft tissuePopulationAnatomySarcomaSurgery

Abstract

fetched live from OpenAlex

Rhabdomyosarcoma (RMS) is the most common soft tissue malignancy seen in children. Approximately half of all RMS seen in the pediatric population occur in the head and neck; it is the most common malignant tumor of the aural region in childhood. There are three histological subtypes: embryonal, alveolar and pleomorphic. Sclerosing spindle cell rhabdomyosarcoma (ssRMS) is subtype of the embryonal RMS seen mostly in adult males. Although embryonal RMS is common, the spindle cell variant is rare comprising only 3% of cases and is usually seen in males below the age of 7 years. This case study demonstrates sclerosing spindle cell RMS in a 7-year-old female patient presenting with an auricular mass. J Med Cases. 2018;9(10):348-351 doi: https://doi.org/10.14740/jmc3164

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.316
Teacher spread0.276 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicSarcoma Diagnosis and TreatmentFrench-language works237,207