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Record W4392374390 · doi:10.1007/s00134-024-07336-4

Factors associated with successful liberation from continuous renal replacement therapy in children and young adults: analysis of the worldwide exploration of renal replacement outcomes collaborative in Kidney Disease Registry

2024· article· en· W4392374390 on OpenAlexaff
Erin K. Stenson, Issa Alhamoud, Rashid Alobaidi, Gabriella Bottari, Sarah N. Fernández, Dana Y. Fuhrman, Francesco Guzzi, Taiki Haga, Ahmad Kaddourah, Eleonora Marinari, Tahagod Mohamed, Catherine Morgan, Theresa Mottes, Tara M. Neumayr, Nicholas J. Ollberding, Valeria Raggi, Zaccaria Ricci, Emily See, Natalja L. Stanski, Huaiyu Zang, Emily E. Zangla, Katja M. Gist, Andrea Cappoli, Eileen Ciccia, Michaela Collins, Denise Colosimo, Gérard Cortina, Mihaela Damian, Sara de la Mata Navazo, Gabrielle DeAbreu, Akash Deep, Kathy L Ding, Kristin Dolan, Sarah N Lafever Fernandez, Ben Gelbart, Stephen M. Gorga, Isabella Guzzo, Elizabeth Harvey, Denise Hasson, Taylor Hill-Horowitz, Haleigh Inthavong, Catherine Joseph, Aadil Kakajiwala, Aaron Kessel, S Korn, Kelli A. Krallman, David M. Kwiatkowski, Jasmine Lee, Laurance Lequier, Tina Madani Kia, Kenneth E. Mah, Susan D. Martin, Shina Menon, Melissa Muff‐Luett, Siva P. Namachivayam, Jennifer Nhan, Abigail Alexandra O'Rourke, Matthew G. Pinto, Dua Qutob, Stéphanie Reynaud, Zachary A. Rumlow, María J Lozano Santiago, David T. Selewski, Carmela Serpe, Alyssa Serratore, Ananya Shah, Weiwen V. Shih, Hughes Stella, Cara Slagle, Sonia Solomon, Danielle E. Soranno, Rachana Srivastava, Michelle C. Starr, Amy E. Strong, Susan A. Taylor, Sameer Thadani, Amanda M. Uber, Brynna Van Wyk, Tennille N. Webb, Michael Zappitelli

Bibliographic record

VenueIntensive Care Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
FundersNational Center for Advancing Translational SciencesNational Institute of General Medical SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteCincinnati Children's Hospital Medical Center
KeywordsRenal replacement therapyMedicineDialysisAcute kidney injuryKidney diseaseSepsisOdds ratioRetrospective cohort studyNephrologyExtracorporeal membrane oxygenationIntensive 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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.310
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2024
Admission routes1
Has abstractno

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