MétaCan
Menu
Back to cohort
Record W3154226153 · doi:10.1016/j.kisu.2021.01.007

International Society of Nephrology Global Kidney Health Atlas: structures, organization, and services for the management of kidney failure in Western Europe

2021· review· en· W3154226153 on OpenAlexafffund
Dearbhla Kelly, Hans‐Joachim Anders, Aminu K. Bello, Gabriel Choukroun, Rosanna Coppo, Gavin Dreyer, Kai‐Uwe Eckardt, David W. Johnson, Vivekanand Jha, David C.H. Harris, Adeera Levin, Meaghan Lunney, Valérie A. Luyckx, Hans‐Peter Marti, Piergiorgio Messa, Thomas Mueller, Syed Saad, Bénédicte Stengel, Raymond Vanholder, Talia Weinstein, Maryam Khan, Deenaz Zaidi, Mohamed A. Osman, Feng Ye, Marcello Tonelli, Ikechi G. Okpechi, Éric Rondeau

Bibliographic record

VenueKidney International Supplements · 2021
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of OttawaUniversity of British ColumbiaUniversity of CalgaryUniversity of Alberta
FundersUniversity of AlbertaInternational Society of Nephrology
KeywordsMedicineNephrologyKidney transplantationPopulationRenal replacement therapyDialysisTransplantationKidney diseaseInternal medicineEnvironmental health

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.017
GPT teacher head0.330
Teacher spread0.313 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations64
Published2021
Admission routes2
Has abstractno

Explore more

Same venueKidney International SupplementsSame topicDialysis and Renal Disease ManagementFrench-language works237,207