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Record W1965369663 · doi:10.1358/dnp.2004.17.8.863694

The corticotropin-releasing factor system as a potential target for antiobesity drugs

2004· review· en· W1965369663 on OpenAlexaff
Christian Doyon, Andreea Moraru, Denis Richard

Bibliographic record

VenueDrug News & Perspectives · 2004
Typereview
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsReceptorAnorecticStimulationNeuroscienceMedicinePharmacologyEndocrinologyBiologyInternal medicineFood intake

Abstract

fetched live from OpenAlex

Corticotropin-releasing factor (CRF)-related peptides are involved in numerous physiological and behavioral actions, including activation of the pituitary-adrenal axis, stimulation of anxiety-related behaviors and modulation of cardiovascular and gastrointestinal functions. They are also capable of strong anorectic and thermogenic effects. In fact, the CRF system, which promotes a negative energy profile upon activation, could represent a potential target for the pharmacological treatment of obesity. The recent identification of two endogenous ligands for the CRF(2) receptor, urocortins 2 and 3, and the development of selective CRF receptor antagonists, has paved the way for improving our understanding of the specific physiological roles played by each CRF receptor. Based on recent progress, we conclude that the CRF(2) receptor could be a potential target for the development of an antiobesity drug.

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)0.001
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.030
GPT teacher head0.325
Teacher spread0.296 · 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

Citations15
Published2004
Admission routes1
Has abstractyes

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