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Record W2606909394 · doi:10.15171/ijbsm.2017.01

Biologic and Clinical Aspects of Rhabdomyosarcoma

2017· article· en· W2606909394 on OpenAlex
Arya Emami, Zahra Sepehri, Joseph W. Gordon, Saeid Ghavami

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

VenueInternational journal of basic science in medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of ManitobaUniversity of Guelph
Fundersnot available
KeywordsRhabdomyosarcomaSoft tissue sarcomaMedicineOncologyInternal medicinePopulationSarcomaDiseaseCancerChildhood cancerPathology

Abstract

fetched live from OpenAlex

Rhabdomyosarcoma (RMS) is a muscle-derived tumor and is the most common pediatric soft tissue sarcoma representing 5% of all childhood cancers. Statistically, soft tissue sarcomas account for approximately 10% of all cancers in children, of which more than half of these tumors are RMS. Thus, RMS is a major clinical problem in pediatric oncology. RMS is caused by a disruption in the pathway of primitive mesenchymal stem cells directed towards myogenesis. In most cases of patients diagnosed with RMS there is a genetic or chromosomal alteration involved. In past few years there have been discoveries of more therapeutic approaches that has improved the quality of life in RMS patients and has resulted in a better survival rate in this population from 25% to 60%. However, Additional researches and clinical trials are needed in order to minimize the devastating consequences of the pediatric cancer including RMS. In the current mini review we will briefly discuss current knowledge in RMS focusing on most common biological and clinical aspects of the disease.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.446
Teacher spread0.360 · 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