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Record W1984951706 · doi:10.1053/j.ajkd.2011.04.020

Development and Validation of the PAIR (Pharmacotherapy Assessment in Chronic Renal Disease) Criteria to Assess Medication Safety and Use Issues in Patients With CKD

2011· article· en· W1984951706 on OpenAlexaff
Jean-François Desrochers, Jean-Philippe Lemieux, Claudia Morin-Bélanger, François Paradis, Anne Lord, Robert Bell, Djamal Berbiche, Patricia Quintana-Bárcena, Noémie Charbonneau Séguin, Katherine Desforges, Marie-Ève Legris, Patricia Sauvé, Lyne Lalonde

Bibliographic record

VenueAmerican Journal of Kidney Diseases · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsSanofi (Canada)Centre Integre de Sante et de Services Sociaux de LavalUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineKidney diseaseNephrologyIntraclass correlationClinical pharmacyInternal medicinePharmacistPharmaceutical carePatient safetyIntensive care medicinePhysical therapyEmergency medicineHealth careFamily medicinePharmacyPsychometrics

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)0.016
metaresearch head score (Gemma)0.039
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 score0.016
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.067
GPT teacher head0.391
Teacher spread0.323 · 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

Citations38
Published2011
Admission routes1
Has abstractno

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