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Record W2073218447 · doi:10.1002/ddr.10318

Proteinase‐activated receptors (PARs) and the kidney

2003· article· en· W2073218447 on OpenAlexaff
Morley D. Hollenberg, Suranga J. Wijesuriya, Yu Gui, Rodger Loutzenhiser

Bibliographic record

VenueDrug Development Research · 2003
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKidneyRenal functionPathophysiologyReceptorBiologyInternal medicineEndocrinologyPathologyMedicine

Abstract

fetched live from OpenAlex

Abstract It has been discovered that the kidney is an organ that is particularly rich in proteinase‐activated receptor‐2 (PAR2) and that also expresses PARs 1 and 4. Notwithstanding this fact, the potential physiologic role that PARs play in regulating renal function is largely unknown. This article summarizes much about what is known in terms of the expression of mRNA for PARs 1, 2 and 4 in the kidney, the cellular distribution of PARs 1 and 2, and the renal vascular actions of PARs 1, 2, and 4. The ability of PARs 1 and 2 to exert a bidirectional action on renal perfusion flow and glomerular filtration rate and the wide distribution of PARs 1 and 2 in both vascular and epithelial elements of the kidney imply not only that the PARs may play an important pathophysiologic role in the kidney, but that the individual PARs may each play distinct roles in this regard. Drug Dev. Res. 60:36–42, 2003. © 2003 Wiley‐Liss, Inc.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.339
Teacher spread0.276 · 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
GenreReview

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

Citations7
Published2003
Admission routes1
Has abstractyes

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