MétaCan
Menu
Back to cohort
Record W2807654094 · doi:10.1161/jaha.118.008834

Cardiac and Vascular Surgery–Associated Acute Kidney Injury: The 20th International Consensus Conference of the ADQI (Acute Disease Quality Initiative) Group

2018· review· en· W2807654094 on OpenAlex
Mitra K. Nadim, Lui G. Forni, Azra Bihorac, Charles Hobson, Jay L. Koyner, Andrew Shaw, George J. Arnaoutakis, Xiaoqiang Ding, Daniel T. Engelman, Hrvoje Gašparović, Vladimir Gašparović, Charles A. Herzog, Kianoush Kashani, Nevin Katz, Kathleen D. Liu, Ravindra L. Mehta, Marlies Ostermann, Neesh Pannu, Peter Pickkers, Susanna Price, Zaccaria Ricci, Jeffrey Rich, Lokeswara Rao Sajja, Fred A. Weaver, Alexander Zarbock, Claudio Ronco, John A. Kellum

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Heart Association · 2018
Typereview
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
FundersNxStageUniversity of Southern CaliforniaAstute MedicalSveučilište u ZagrebuNational Institute of General Medical SciencesSphingotec GmbH
KeywordsMedicineNephrologyAcute kidney injuryInternal medicineKidney diseaseFamily medicineGeneral surgery

Abstract

fetched live from OpenAlex

Contains fulltext : 192663.pdf (Publisher’s version ) (Open Access)

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.

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)0.007
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.370
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.401
Teacher spread0.324 · 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