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Record W2915966197 · doi:10.1016/j.kint.2018.11.008

Management and treatment of glomerular diseases (part 2): conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

2019· article· en· W2915966197 on OpenAlexaff
Brad H. Rovin, Dawn J. Caster, Daniel C. Cattran, Keisha L. Gibson, Jonathan J. Hogan, Marcus J. Moeller, Dario Roccatello, Michael Cheung, David C. Wheeler, Wolfgang C. Winkelmayer­, Jürgen Floege, Sharon G. Adler, Charles E. Alpers, Isabelle Ayoub, Arvind Bagga, Sean J. Barbour, Jonathan Barratt, Daniel T.M. Chan, Anthony Chang, Jason Choo, H. Terence Cook, Rosanna Coppo, Fernando C. Fervenza, Agnes B. Fogo, J. G. Fox, Richard J. Glassock, David C.H. Harris, Elisabeth M Hodson, Elion Hoxha, Kunitoshi Iseki, J. Charles Jennette, Vivekanand Jha, David W. Johnson, Shinya Kaname, Ritsuko Katafuchi, A. Richard Kitching, Richard A. Lafayette, Philip Kam‐Tao Li, Adrian Liew, Jicheng Lv, Ana Malvar, Shoichi Maruyama, Juan M. Mejía‐Vilet, Chi Chiu Mok, Patrick H. Nachman, Carla Nester, Eisei Noiri, Michelle M. O’Shaughnessy, Seza Özen, Samir M. Parikh, Hyeong Cheon Park, Chen Au Peh, William F. Pendergraft, Matthew C. Pickering, Évangéline Pillebout, Jai Radhakrishnan, Manish Rathi, Pierre Ronco, William E. Smoyer, Sydney Tang, Vladimı́r Tesař, Joshua M. Thurman, Hernán Trimarchi, Marina Vivarelli, Giles Walters, Angela Yee‐Moon Wang, Scott E. Wenderfer, Jack F.M. Wetzels

Bibliographic record

VenueKidney International · 2019
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of British ColumbiaUniversity Health Network
FundersWellcome Trust
KeywordsKidney diseaseMedicineIntensive care medicineInternal medicine

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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

Citations185
Published2019
Admission routes1
Has abstractno

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