MétaCan
Menu
Back to cohort
Record W2035050946 · doi:10.1037/h0095049

Impact of an early psychosis program on substance use.

2001· article· en· W2035050946 on OpenAlex
Donald Addington

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

VenuePsychiatric Rehabilitation Journal · 2001
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsPsychosocialSubstance abusePsychosisSchizophrenia (object-oriented programming)Intervention (counseling)Substance usePsychiatryPsychologyClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Approximately 37% of admissions to a recently developed program for first episode patients met criteria for substance abuse or dependence as well as criteria for one of the schizophrenia spectrum disorders. In this program the issue of substance use is addressed at the initial assessment and throughout the program. Several intervention strategies are integrated within the range of available psychosocial treatments. Additionally, we offer a specifically designed treatment strategy. This paper describes our 2-year experience with an integrated approach to reduce substance use in a specialized treatment program for individuals experiencing a first episode of psychosis.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.119
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.374
Teacher spread0.348 · 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