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Record W2025753477 · doi:10.1038/clpt.2011.311

Uncoupling the Dopamine D1–D2 Receptor Complex: A Novel Target for Antidepressant Treatment

2011· article· en· W2025753477 on OpenAlexaff
Albert H.C. Wong, F Liu

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2011
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsAntidepressantDopamineNeurotransmitterDopamine receptor D2Major depressive disorderNorepinephrineDepression (economics)Neurotransmitter receptorMoodPharmacologyDopamine receptor D3PsychiatryMedicineSerotoninNeurotransmitter systemsPsychologyClinical pharmacologyNeuroscienceInternal medicineReceptor

Abstract

fetched live from OpenAlex

Depression, or major depressive disorder (MDD), is a serious mental illness that causes substantial worldwide disability. Current antidepressant medications mostly target the serotonin and norepinephrine neurotransmitter systems. These drugs are ineffective in many patients, and there are limited options for treatment-resistant depression. The dopamine neurotransmitter system has recently been identified as another modulator of mood and depressive symptoms, and a recently discovered interaction between the dopamine D1 and D2 receptor may be a novel antidepressant target.

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)0.000
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.340
GPT teacher head0.456
Teacher spread0.116 · 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

Citations14
Published2011
Admission routes1
Has abstractyes

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