MétaCan
Menu
Back to cohort
Record W4409717137 · doi:10.1016/j.kint.2025.04.007

Renal Pathology Society/International Kidney and Monoclonal Gammopathy Research Group consensus on pathologic definitions and terminology of monoclonal gammopathy–associated kidney lesions

2025· article· en· W4409717137 on OpenAlexaff
Samih H. Nasr, Virginie Royal, Alejandro Best Rocha, Maike Büttner‐Herold, Candice Roufosse, Frank Bridoux, Wisam Ismail, Lihong Bu, Lynn D. Cornell, Amélie Dendooven, Rajib Gupta, Shigeo Hara, Vincent Javaugue, Nicolas Kozakowski, Satoru Kudose, Gonzalo P. Méndez, Kimberley Oliver, Maria M. Picken, Dominick Santoriello, Sanjeev Sethi, Akira Shimizu, Geetika Singh, Michael B. Stokes, Suxia Wang, Nelson Leung, Glen S. Markowitz, Vivette D. D’Agati

Bibliographic record

VenueKidney International · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersNIHR Imperial Biomedical Research CentreNational Institute for Health and Care ResearchMayo Clinic
KeywordsMonoclonal gammopathyMedicineTerminologyPathologyKidneyRenal pathologyMonoclonalMonoclonal antibodyInternal medicineImmunologyAntibodyPhilosophy

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 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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.045
GPT teacher head0.331
Teacher spread0.286 · 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.

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

Citations27
Published2025
Admission routes1
Has abstractno

Explore more

Same venueKidney InternationalSame topicAmyloidosis: Diagnosis, Treatment, OutcomesFrench-language works237,207