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Record W2061310344 · doi:10.1159/000158023

Relation of c-AMP to Relaxation of Pulmonary Artery

2008· article· en· W2061310344 on OpenAlexaff
E.E. Daniel, J. Crankshaw

Bibliographic record

VenueBlood Vessels · 2008
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPapaverineTheophyllineInternal medicinePhentolamineDiazoxideEndocrinologyReserpineContraction (grammar)ArteryPulmonary arterySerotoninCirculatory systemChemistryMedicinePropranolol

Abstract

fetched live from OpenAlex

We tested the hypothesis that an increase in c-AMP was necessary or sufficient for relaxation of rabbit pulmonary artery. Isoproterenol (INA) partially relaxed serotonin (5-HT) induced contractions. Theophylline (TH) alone relaxed contraction more effectively, but after TH, INA produced no greater relaxation. At the height of relaxation (2 min), c-AMP was not increased, but after 5 min the c-AMP was decreased and the artery was recontracted. c-AMP was increased after TH, and more when INA was given after TH. Noradrenaline contracted the arteries and increased c-AMP; both effects were prevented by phentolamine. A series of other relaxants (papaverine, nitroglycerine, D600, Ro-7-2956, diazoxide and dipyridamole) also failed to produce relaxations directly related to c-AMP levels. We concluded that c-AMP increase was not necessary or sufficient for relaxation in artery, and that in pulmonary artery phosphodiesterase activity played an important role in determining tissue levels of c-AMP.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.042
GPT teacher head0.289
Teacher spread0.247 · 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 designBench or experimental
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

Citations9
Published2008
Admission routes1
Has abstractyes

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