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Record W1490672039 · doi:10.1007/s12630-012-9750-4

Timing the initiation of renal replacement therapy for acute kidney injury in Canadian intensive care units: a multicentre observational study

2012· article· en· W1490672039 on OpenAlexafffundabout
Edward G. Clark, Ron Wald, Adeera Levin, Josée Bouchard, Neill K. J. Adhikari, Michelle Hladunewich, Robert Richardson, Matthew T. James, Michael Walsh, Andrew A. House, Louise Moist, Daniel Stollery, Karen E. A. Burns, Jan O. Friedrich, James C. Barton, Jean‐Philippe Lafrance, Neesh Pannu, Sean M. Bagshaw

Bibliographic record

VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of AlbertaGrey Nuns Community HospitalVictoria HospitalLondon Health Sciences CentreOttawa HospitalHealth Sciences CentreSt. Michael's HospitalSunnybrook Health Science CentreUniversité de MontréalUniversity of OttawaHôpital du Sacré-Cœur de MontréalFoothills Medical CentreMcMaster UniversityToronto General HospitalUniversity of TorontoHôpital Maisonneuve-RosemontSt. Paul's Hospital
FundersCanadian Institutes of Health ResearchAlberta InnovatesOttawa Hospital Research Institute
KeywordsMedicineRenal replacement therapyAcute kidney injuryInterquartile rangeIntensive careCreatinineObservational studySOFA scoreSeptic shockIntensive care medicineSepsisIntensive care unitInternal medicineEmergency medicineRenal function

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.923
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.007
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.339
Teacher spread0.267 · 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 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

Citations34
Published2012
Admission routes3
Has abstractno

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Same venueCanadian Journal of Anesthesia/Journal canadien d anesthésieSame topicAcute Kidney Injury ResearchFrench-language works237,207