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Record W4382204476 · doi:10.2218/gtopdb/f61/2023.1

Somatostatin receptors in GtoPdb v.2023.1

2023· article· en· W4382204476 on OpenAlexaff
Corinne Bosquet, Justo P. Castaño, Zsolt Csaba, Micheal Culler, Pascal Dournaud, Jacques Epelbaum, W. Feniuk, Anthony J. Harmar, Rebecca Hills, Leo J. Hofland, Daniël Hoyer, P.P.A. Humphrey, Hans‐Jürgen Kreienkamp, Amelie Lupp, Шломо Мелмед, Wolfgang Meyerhof, Anne‐Marie O’Carroll, Yogesh Patel, Terry Reisine, Jean–Claude Reubi, Marcus Schindler, Herbert Schmid, Agnes Schönbrunn, Stefan Schulz, John E. Taylor, Giovanni Tulipano, Annamaria Vezzani, Hans‐Jürgen Wester

Bibliographic record

VenueIUPHAR/BPS Guide to Pharmacology CITE · 2023
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsMcGill University
Fundersnot available
KeywordsSomatostatinSomatostatin receptorReceptorSomatostatin receptor 2Somatostatin receptor 1Internal medicineSomatostatin receptor 3EndogenyEndocrinologyChemistryNeuropeptidePeptide hormoneHormoneBiologyPharmacologyMedicine

Abstract

fetched live from OpenAlex

Somatostatin (somatotropin release inhibiting factor) is an abundant neuropeptide, which acts on five subtypes of somatostatin receptor (SST1-SST5; nomenclature as agreed by the NC-IUPHAR Subcommittee on Somatostatin Receptors [98]). Activation of these receptors produces a wide range of physiological effects throughout the body including the inhibition of secretion of many hormones. Endogenous ligands for these receptors are somatostatin-14 (SRIF-14) and somatostatin-28 (SRIF-28). cortistatin-14 has also been suggested to be an endogenous ligand for somatostatin receptors [61].

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.007

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 head0.029
GPT teacher head0.424
Teacher spread0.395 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueIUPHAR/BPS Guide to Pharmacology CITESame topicNeuroendocrine Tumor Research AdvancesFrench-language works237,207