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Record W2380990714

Subtle radiographic presentation of a pleural effusion secondary to a cancer of unknown primary: a case study.

2014· article· en· W2380990714 on OpenAlexaff
Marc‐André Blanchette, Julie-Marthe Grenier

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Montréal
Fundersnot available
KeywordsMedicinePleural effusionChiropracticRadiographyPresentation (obstetrics)ReferralCancerEffusionRadiologySurgeryPathologyInternal medicineFamily medicineAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Carcinoma of unknown primary sites is a clinical syndrome that represents many types of cancer. The mortality rate associate to this type of cancer is elevated and a rapid medical referral is required for patients presenting this condition. Pleural effusion may be the only visible sign. We report a case of pleural effusion secondary to a cancer of unknown primary site in a 60-year-old man that sought chiropractic care for radiating low back pain. The radiographic studies revealed a pleural effusion as one of the only significant finding. This article will address the clinical presentation, radiographic studies and a discussion on the radiographic detection of pleural effusion.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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
Published2014
Admission routes1
Has abstractyes

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