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Record W4408026159 · doi:10.1111/hdi.13215

Correction to “Hemodynamic Effects of Low Versus High Dialysate Bicarbonate Concentration in Hemodialysis Patients”

2025· erratum· en· W4408026159 on OpenAlexvenueno aff

Bibliographic record

VenueHemodialysis International · 2025
Typeerratum
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsHemodialysisMedicineBicarbonateHemodynamicsCardiologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Jensen, JSK, Jørgensen, IH, Buus, NH, Jensen, JD, Peters, CD. Hemodynamic Effects of Low Versus High Dialysate Bicarbonate Concentration in Hemodialysis Patients. Hemodialysis International 2024; 28(3): 290–303. https://doi.org/10.1111/hdi.13162. In Figure 3, the individual drops of each participant in orthostatic blood pressure appeared to involve more than the 12 participants used for analysis, as described in the methods section of the paper. The new version of Figure 3 (see below) accurately reflects the blood pressure drop in only the 12 participants who were used for analysis. Importantly, the mean orthostatic drop in blood pressure remains unchanged, and the overall conclusions and interpretations of the data are unaffected by this error. We apologize for any confusion this may have caused.

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.

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)0.006
metaresearch head score (Gemma)0.079
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.079
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.002
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.0440.028

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 head0.004
GPT teacher head0.242
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

Citations0
Published2025
Admission routes1
Has abstractyes

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