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Record W2031018790 · doi:10.4021//jmc.v4i3.1140

Small Cell Carcinoma of the Ovary: Report of Three Cases of a Poor Prognosis Disease

2013· article· en· W2031018790 on OpenAlexvenueno aff
Massimo Origoni, Alice Bergamini, Francesca Pella, Jessica Ottolina, Veronica Giorgione, Diana Del Prato, Giada Almirante, Massimo Candiani

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiseaseOvaryTreatment modalityTherapeutic modalitiesCarcinomaMortality rateOncologyInternal medicine

Abstract

fetched live from OpenAlex

Small cell carcinoma of the ovary (SCCO) is a rare, malignant and very aggressive tumor. According to the current state of the art, no standard treatment has been established, both in terms of treatment modalities and outcomes. With the exception of some very rare cases reported in literature, the prognosis remains very poor and mortality rate extremely high. We report of three cases of SCCO with rapid progression and spreading of the disease despite multifactorial therapies. Different treatment options have been administered to our patients, but none of them was successful in achieving satisfactory outcomes and / or disease control. doi: http://dx.doi.org/10.4021/jmc1043e

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)0.004
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0040.002
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 head0.264
Teacher spread0.236 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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