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Record W1996695573 · doi:10.1089/jpm.2008.0085

Rare Bone Metastases of the Olecranon

2008· article· en· W1996695573 on OpenAlexaff
Shaelyn Culleton, Eric de, Monique Christakis, Michael Ford, I Zbieranowski, Emily Sinclair, Patrick Cheung, Sarah Campos, Philiz Goh, Edward Chow

Bibliographic record

VenueJournal of Palliative Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersPfizer
KeywordsMedicineOlecranonRenal cell carcinomaMetastasisBone metastasisAppendicular skeletonProstateProstate cancerCarcinomaPathologyCancerElbowRadiologyInternal medicineAnatomy

Abstract

fetched live from OpenAlex

Abstract Bone metastases are prevalent in patients with cancer, especially with primary lung, breast, renal cell, thyroid, and prostate carcinomas. When looking specifically at primary renal cell carcinoma, approximately 40% of patients will develop bone metastases during the course of their disease. However, distal bony involvement to the appendicular skeleton occurs less frequently, developing below the elbow and knee in approximately 7% of metastatic renal cell carcinoma patients. The incidence of olecranon metastasis is extremely rare in all cancers and so far only two cases have been reported in literature. We report the third case of an olecranon metastasis in a patient with renal cell carcinoma.

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 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)0.000
metaresearch head score (Gemma)0.000
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 score0.097
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.057
GPT teacher head0.333
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2008
Admission routes1
Has abstractyes

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