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Record W2147213052 · doi:10.3109/10826084.2010.501675

Quality of Life, Needs, and Interest Among Cocaine Users: Differences by Cocaine Use Intensity and Lifetime Severity of Addiction to Cocaine

2010· article· en· W2147213052 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSubstance Use & Misuse · 2010
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
Fundersnot available
KeywordsAddictionQuality of life (healthcare)Cocaine dependenceLogistic regressionCocaine usePsychologyClinical psychologyPsychiatryMedicineInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

We examined the quality of life (QoL) of 149 patients who were recruited in 2005 at outpatient treatment centers for cocaine dependence in Spain. Important life areas and life areas with potential need and interest to change in order to improve the QoL were analyzed in terms of patients? cocaine use intensity within the previous six months and lifetime severity addiction to cocaine. The Spanish versions of the Drug User Quality of Life Scale and the Lifetime Severity Index for Cocaine were used to measure QoL, needs and interest, and severity addiction to cocaine. The data analysis employed t-tests, linear regression, Mann?Whitney U tests, multivariate regression, and chi-square tests. Tailoring treatment programs to address the life areas that are considered relevant to cocaine users considering their intensity of consumption and lifetime severity addiction to cocaine may improve retention and treatment outcomes. Further research needs to consider patients of different ethnic backgrounds and cultural contexts. The study's limitations are noted.

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.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.280
Teacher spread0.248 · 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