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Record W2076031717 · doi:10.5489/cuaj.1894

Surgical management of renal cell carcinoma: Canadian Kidney Cancer Forum Consensus

2014· article· en· W2076031717 on OpenAlexaffvenueabout
Ricardo Rendon, Anil Kapoor, Rodney H. Breau, Michael Leveridge, Andrew Feifer, Peter C. Black, Alan So

Bibliographic record

VenueCanadian Urological Association Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of British ColumbiaQueen's UniversityMcMaster UniversityCredit Valley HospitalUniversity of OttawaDalhousie University
Fundersnot available
KeywordsKidney cancerRenal cell carcinomaMedicineCancerConsensus conferenceKidneyGeneral surgeryOncologyInternal medicine

Abstract

fetched live from OpenAlex

The Canadian Cancer Society estimated 5900 new cases of renal cell carcinoma (RCC) and 1750 related deaths in Canada in 2012. 1 RCC is the sixth and eleventh most common cancer diagnosed in Canadian men and women, respectively, and its incidence has been rising by about 2.3% per year, including the period from 2005 to 2009. 2 Much of this rise is attributed to incidental detection via abdominal imaging for other causes.Most of these RCCs have been small renal masses (SRMs), defined as solid-appearing masses less than 4 cm in maximum diameter. 3,4ereditary RCC syndromes are well-described, but account for a minority of incidental findings.Other wellrecognized risk factors include cigarette smoking, obesity, hypertension and chronic renal failure.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score0.739

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0050.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0050.002

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 head0.013
GPT teacher head0.223
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations42
Published2014
Admission routes3
Has abstractyes

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