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Record W3081580987 · doi:10.1016/j.kint.2020.07.045

Management of idiopathic childhood nephrotic syndrome in sub-Saharan Africa: Ibadan consensus statement

2020· article· en· W3081580987 on OpenAlexafffund
Christopher Imokhuede Esezobor, Adebowale Ademola, Adewale Elijah Adetunji, Emmanuel Adémólá Anígilájé, Anthony Batte, Fatima N. Jiya-Bello, Francis F. Furia, Uzoamaka Muoneke, Mignon McCulloch, Peter Nourse, Patience Obiagwu, Odutola I. Odetunde, Perditer Okyere, Adaobi Solarin, Elliot Koranteng Tannor, Damien Noone, Rasheed Gbadegesin, Rulan S. Parekh, Gloria Ashuntantang, Georgette Guemkam, Dwamoa Adu, Victoria Adabayeri, Vincent Boima, Charlotte Osafo, Sampson Antwi, Jacob Plange‐Rhule, Manmak Mamven, Samuel Ajayi, Ogochukwu Okoye, Ofejiro Okperi, Okiroro Ighosewe, Ifeoma Ulasi, Henrietta U. Okafor, Babatunde Lawal Salako, Kemi Amodu, Yemi Raheem Raji, Asinobi O. Adanze, Fatiu A. Arogundade, Wasiu A. Olowu, Timothy O. Olanrewaju, Olanrewaju T. Adedoyin, Aliyu Abdu, Oluwatoyin Amira, Charles Odenigbo, Nonyelum Nnenna Jisieike-Onuigbo, Adesola Zaidat Musa, Rosemary Audu, Olanrewaju Yusuf Jinadu, Muhammad Makusidi, Fatima Nma Jiya Bello, J O Awobusuyi, Francis Frederick Furia, Paschal Ruggajo, Jacqueline Shoo, Robert Kalyesubula, Grace Kansiime, Jovanka Vasilevska‐Ristovska, Tonny Banh, Akinlolu Ojo, Jillian Wilson, Donna Smith, Titilayo O. Ilori

Bibliographic record

VenueKidney International · 2020
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health ResearchNational Institutes of HealthCanada Research Chairs
KeywordsMedicineNephrotic syndromeScopusKidney diseaseAcute kidney injuryIncidence (geometry)PediatricsDiseaseInternal medicineMEDLINE

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)0.014
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.253
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations17
Published2020
Admission routes2
Has abstractno

Explore more

Same venueKidney InternationalSame topicRenal Diseases and GlomerulopathiesFrench-language works237,207