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Record W2011994674 · doi:10.1517/13543780903184591

Discontinued psychiatric drugs in 2008

2009· article· en· W2011994674 on OpenAlexaff
Victoria D Kirchhoff, Ha TT Nguyen, Joanna K. Soczynska, Hanna O. Woldeyohannes, Roger S. McIntyre

Bibliographic record

VenueExpert Opinion on Investigational Drugs · 2009
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMental illnessPsychiatryMood disordersMedicineDiseaseMoodPsychologyMental healthAnxiety

Abstract

fetched live from OpenAlex

During the past several decades, neuropsychiatric agents have been one of the fastest growing classes of medicinal agents. This expansion is in part due to the increased recognition of the prevalence and burden of illness associated with disparate neuropsychiatric disorders, increased public awareness and possibly reduced stigma associated with mental illness, as well as extensive marketing of neuropsychiatric agents to healthcare providers. Most of the agents reviewed herein represent modifications and/or refinements of pre-existing agents and/or theoretical approaches (e.g., monoamine hypothesis). There remains a relative paucity of agents with genuinely novel mechanisms targeting effector systems implicated in contemporary models of disease pathophysiology in mood and psychotic disorders (e.g., glutamate, insulin, brain derived neurotrophic factor and other growth factors, immunoinflammatory systems and oxidative stress).

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0390.016

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 head0.026
GPT teacher head0.329
Teacher spread0.304 · 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
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

Citations22
Published2009
Admission routes1
Has abstractyes

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