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Record W3116452987 · doi:10.1124/pr.118.015552

International Union of Basic and Clinical Pharmacology. CX. Classification of Receptors for 5-hydroxytryptamine; Pharmacology and Function

2020· review· en· W3116452987 on OpenAlexfundno aff
Nicholas M. Barnes, Gerard P. Ahern, Carine Bécamel, Joël Bockaert, Michael Camilleri, Séverine Chaumont‐Dubel, Sylvie Claeysen, Kathryn A. Cunningham, K.C.F. Fone, Michael D. Gershon, Giuseppe Di Giovanni, Nathalie M. Goodfellow, Adam L. Halberstadt, Rachel Hartley, Ghérici Hassaı̈ne, Katharine Herrick‐Davis, Ruud Hovius, Enza Lacivita, Evelyn K. Lambe, Marcello Leopoldo, Finn Olav Levy, Sarah C. R. Lummis, Philippe Marin, Luc Maroteaux, Andrew C. McCreary, David L. Nelson, John F. Neumaier, Adrian Newman‐Tancredi, Hugues Nury, A Roberts, Bryan L. Roth, Anne Roumier, Gareth J. Sanger, Milt Teitler, Trevor Sharp, Carlos M. Villalón, Horst Vogel, Stephanie W. Watts, Daniël Hoyer

Bibliographic record

VenuePharmacological Reviews · 2020
Typereview
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsnot available
FundersAgence Nationale de la RechercheNational Institute on Drug AbuseNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNational Institute of Neurological Disorders and StrokeMedical Research CouncilCanadian Institutes of Health Research
KeywordsReceptorPharmacologyNeuroscienceFunction (biology)BiologyMedicineComputational biologyCell biologyBiochemistry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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 score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.032

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 head0.255
GPT teacher head0.475
Teacher spread0.219 · 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

Citations260
Published2020
Admission routes1
Has abstractno

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