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Record W2134373304 · doi:10.1517/14656566.1.3.575

The Sixth International Conference on Endothelin

2000· article· en· W2134373304 on OpenAlexaboutno aff
Alan Bagnall, David J. Webb

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiovascular, Neuropeptides, and Oxidative Stress Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndothelin receptorClinical trialPharmacologyDiseaseInternal medicineReceptor

Abstract

fetched live from OpenAlex

Since its discovery in 1988, there has been an enormous amount of interest in endothelin-1 (ET-1) and its regulatory and growth-promoting role in cardiovascular physiology. Evidence from the Sixth International Conference on Endothelin, held in Montreal in October 1999, continued to demonstrate that the endothelin system is an important therapeutic target in cardiovascular disease, with promising results in animal studies now being confirmed by clinical trials in humans. In addition, many new and exciting roles for ET-1 were presented, suggesting that ET-1 antagonism may have a broader therapeutic potential than previously imagined.

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)0.002
metaresearch head score (Gemma)0.002
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: Commentary · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0910.054

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 head0.077
GPT teacher head0.418
Teacher spread0.341 · 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
GenreCommentary

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

Citations3
Published2000
Admission routes1
Has abstractyes

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