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Record W4281563823 · doi:10.1016/j.ekir.2022.05.022

International Physicians Delphi Survey: Managing Patients With IgA Nephropathy

2022· article· en· W4281563823 on OpenAlexaff
Jürgen Floege, Jonathan Barratt, Rosanna Coppo, Richard Lafayette, Jai Radhakrishnan, Heather N. Reich, Brad H. Rovin, David T. Selewski, Marina Vivarelli, Christopher K. Pham, Vladimı́r Tesař

Bibliographic record

VenueKidney International Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersSRA InternationalAlnylam PharmaceuticalsPfizer
KeywordsMedicineNephropathyNephrologyKidney diseaseDelphi methodFocal segmental glomerulosclerosisIntensive care medicineGlomerulonephritisDiseaseInternal medicineGlomerulosclerosisProteinuriaKidneyEndocrinology

Abstract

fetched live from OpenAlex

IgA nephropathy (IgAN) typically is a slowly progressing disease, with 10% to 60% of patients developing chronic kidney failure within 10 years.1 Practice guidelines (e.g., Kidney Disease: Improving Global Outcomes [KDIGO]) are available, but it is unknown how uniformly nephrologists in different countries agree with and may follow these guidelines. The Delphi Focal Segmental Glomerulosclerosis and IgA Nephropathy Experts: Physicians (DEFINE: Physicians) study sought to capture nephrologist opinions on IgAN pathophysiology, diagnosis, treatment, and monitoring.

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)0.016
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.008
GPT teacher head0.247
Teacher spread0.239 · 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 designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

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