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Record W142772669 · doi:10.4088/jcp.14027ah1

An Overview of Vortioxetine

2014· review· en· W142772669 on OpenAlexfundno aff
Alan F. Schatzberg, Pierre Blier, Larry Culpepper, George I. Papakostas, Michael E. Thase

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2014
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
FundersAgency for Healthcare Research and QualityH. Lundbeck A/SServierShionogiCerecorValeant Pharmaceuticals InternationalLes Laboratories Pierre FabreSunovionGilead SciencesGlaxoSmithKlineNational Institute of Mental HealthPfizerBrainsWayBristol-Myers SquibbEli Lilly and CompanyAstraZenecaSupernus Pharmaceuticals
KeywordsVortioxetinePsychologyPsychiatryMajor depressive disorderCognition

Abstract

fetched live from OpenAlex

Six clinicians provide an overview of the serotonergic antidepressant vortioxetine, which was recently approved for the treatment of major depressive disorder in adults. They discuss the pharmacologic profile and receptor-mediated effects of vortioxetine in relation to potential outcomes. Additionally, they summarize the clinical trials, which demonstrate vortioxetine's efficacy, and discuss findings related to safety and tolerability that have high relevance to patient compliance.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.306
GPT teacher head0.578
Teacher spread0.272 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations36
Published2014
Admission routes1
Has abstractyes

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