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Olhando para trás: um novo caminho possível para a descoberta de drogas em psicofarmacologia

2004· article· pt· W2141247110 on OpenAlexaff
Edward Shorter

Bibliographic record

VenueRevista de Psiquiatria do Rio Grande do Sul · 2004
Typearticle
Languagept
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

A história da psicofarmacologia é repleta de erros do tipo II - a rejeição de compostos efetivos baseada na crença enganosa de que eles foram ineficazes por não terem vencido o placebo em um ensaio clínico controlado. A revisão de algumas dessas drogas para estabelecer seu perfil de receptores e para determinar quais os compostos patenteáveis que atualmente estão na "prateleira" e que encaixam nesse perfil pode representar um caminho futuro possível para a descoberta de drogas. Este artigo examina as circunstâncias especiais nas quais inúmeras drogas potencialmente efetivas foram retiradas do mercado nos Estados Unidos.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.036
GPT teacher head0.335
Teacher spread0.299 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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