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Record W2545151945 · doi:10.14740/jmc.v7i11.2663

A Rare but Lethal Malignant Cardiac Mass

2016· article· en· W2545151945 on OpenAlexvenueno aff
Michael Cruz Caliz, Iván González-Cancel, Ricardo Fernández, Modesto Gonzalez, Gustavo Gonzalez, Kelvin Rivera-Manzano

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiologyMagnetic resonance imagingLimitingSarcomaBiopsyUndifferentiated Pleomorphic SarcomaIncidence (geometry)Cardiac magnetic resonancePathologySoft tissue sarcoma

Abstract

fetched live from OpenAlex

Primary cardiac tumors are extremely rare. Incidence is approximately 0.017% of all primary tumors. Spindle cell sarcoma is the rarest, with only four cases reported and there are no guidelines for treating this condition. Cardiac sarcomas have symptoms by different mechanisms including obstruction, local invasion, and embolisms and in some cases the first manifestation could be a sudden cardiac death. Diagnosis is made with imaging techniques such as echocardiogram, cardiac computed tomography (CT), and magnetic resonance imaging (MRI) and confirmed with tissue biopsy. Patients with malignant tumors have a poor prognosis with an average mean survival of 6 months. Complete resection of the tumor remains the best treatment available. Spindle cell sarcoma may present with few symptoms and may remain silent until an advanced stage, thus limiting the few therapeutic options available. J Med Cases. 2016;7(11):498-501 doi: http://dx.doi.org/10.14740/jmc2663w

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)0.002
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.023
GPT teacher head0.296
Teacher spread0.274 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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