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Record W2158794940 · doi:10.1081/ja-120025128

The Impact of an Outpatient Program for Women with Substance Use-Related Disorders on Retention

2003· article· en· W2158794940 on OpenAlexaff
Monica L. Zilberman, Hermano Tavares, Arthur Guerra de Andrade, Nady el‐Guebaly

Bibliographic record

VenueSubstance Use & Misuse · 2003
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of CalgaryFoothills Medical Centre
Fundersnot available
KeywordsSubstance useMedicinePopulationPsychiatryRetention rateProgram evaluationClinical psychologyPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

Meeting the needs of women manifesting substance-use disorders is a goal in developing treatment programs for this population. As retention in treatment is positively related to treatment outcome, the length of stay in outpatient treatment of alcohol- and other drug-dependent women in Brazil was compared between two programs. Data were analyzed from 181 women entering a Mixed-Gender Program from 1986 to 1996 and from 80 women entering a Women-Only Program from 1997 to 1998. A greater 3-month retention rate was observed in the Women-Only as opposed to the Mixed-Gender Program. Moreover, the impact was more significant among the alcohol-dependent women. This finding suggests that the heterogeneity of women with substance-use disorders has to be taken into account when developing appropriate treatment strategies.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.298
Teacher spread0.270 · 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 designObservational
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

Citations15
Published2003
Admission routes1
Has abstractyes

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