MétaCan
Menu
Back to cohort
Record W2066907964 · doi:10.1002/ddr.10309

Proteinase‐activated receptors (PARs), platelets and angiogenesis

2003· article· en· W2066907964 on OpenAlex
Rafael Perini, John L. Wallace

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDrug Development Research · 2003
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsPlateletProtease-activated receptorReceptorThrombinAngiogenesisHemostasisCell biologyBiologyChemistryPharmacologyCancer researchInternal medicineBiochemistryImmunologyMedicine

Abstract

fetched live from OpenAlex

Abstract With respect to the role of proteinase‐activated receptors (PARs), few cells have been as thoroughly studied as the platelet. PARs appear to act as the key receptors mediating the pro‐aggregatory and pro‐secretory effects of thrombin, but there is considerable variation from species to species in terms of which PARs are involved in these processes. In addition to contributing to hemostasis, platelets are increasingly being viewed as important contributors to healing and to tumor growth. This can be attributed to the many pro‐ and anti‐angiogenic factors that are stored within platelets and are released as sites of injury and new vessel growth. There is emerging evidence for an important role for PARs in regulating the release of growth factors from platelets, raising the specter that PARs may be a rational target for new therapies that will modulate repair processes and tumour growth. Drug Dev. Res. 59:395–399, 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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.344
Teacher spread0.263 · 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