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Record W3049636456 · doi:10.29327/217869.9.2-6

Psicoterapia on-line: uma revisão de literatura

2020· article· pt· W3049636456 on OpenAlexaff
Henrique Borba Bittencourt, Caroline Cassal Rodrigues, Gabriel Licoski dos Santos, Jaqueline Batista da Silva, Laura Gonçalves de Quadros, Lucas Santos Mallmann, Pâmela Soares Bratkowski, Renata Isabel Fedrizzi

Bibliographic record

VenueDiaphora · 2020
Typearticle
Languagept
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O presente artigo teve por objetivo realizar uma revisão literária a fim de compreender os conceitos envoltos no processo terapêutico on-line. Tal pesquisa se mostra importante devido ao grande destaque que a temática ganhou nos tempos atuais em decorrência da crise provocada pela Covid-19, tendo em vista os efeitos na saúde mental e na forma de fazer psicologia. Os resultados encontrados apontam para a semelhança da efetividade do tratamento on-line quando comparado ao modelo clássico, a existência de peculiaridades do setting terapêutico, suas vantagens e, ainda, sua importância tendo em vista as mudanças nas formas de se relacionar. Além disso, é destacada a relativa escassez de trabalhos sobre a temática, sendo importante o incentivo à produção destes.

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)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.008
Science and technology studies0.0020.004
Scholarly communication0.0070.007
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.083
GPT teacher head0.405
Teacher spread0.322 · 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 designSystematic review
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

Citations22
Published2020
Admission routes1
Has abstractyes

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