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Record W2946957740 · doi:10.1016/j.clgc.2021.05.004

Active Surveillance in Metastatic Renal Cell Carcinoma: Results From the Canadian Kidney Cancer Information System

2021· article· en· W2946957740 on OpenAlexafffundabout
Igal Kushnir, Naveen S. Basappa, Sunita Ghosh, Aly‐Khan A. Lalani, Aaron R. Hansen, Lori Wood, Christian Kollmannsberger, Daniel Y.C. Heng, Georg A. Bjarnason, Denis Soulières, David E. Dawe, Simon Tanguay, Rodney H. Breau, Frédéric Pouliot, Anil Kapoor, Jeffrey Graham, M. Neil Reaume

Bibliographic record

VenueClinical Genitourinary Cancer · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversité LavalCentre Hospitalier de l’Université de MontréalPrincess Margaret Cancer CentreUniversity of CalgaryUniversity of British ColumbiaMcMaster UniversitySunnybrook Health Science CentreUniversity of ManitobaJuravinski Cancer CentreQueen Elizabeth II Health Sciences CentreUniversity of AlbertaCancerCare ManitobaOttawa HospitalMcGill University Health CentreUniversity of Ottawa
FundersGenentechIpsenAmgen Astellas BiopharmaAstellas PharmaMerck Sharp and DohmeBristol-Myers Squibb CanadaEisaiAbbVieExelixisSanofiRocheKaryopharm TherapeuticsNovartisMedImmuneGlaxoSmithKlineBoehringer IngelheimAmgenPfizerBayerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineCohortHazard ratioRenal cell carcinomaInternal medicineKidney cancerSystemic therapyCancerCohort studyConfidence intervalOncologyBreast cancer

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.010
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.328
Teacher spread0.270 · 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 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

Citations23
Published2021
Admission routes3
Has abstractno

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