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Additional file 1 of Stimulant use disorder diagnosis and opioid agonist treatment dispensation following release from prison: a cohort study

2022· article· en· W6939243880 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsBC Mental Health & Substance Use ServicesUniversity of British Columbia
Fundersnot available
KeywordsOpioid use disorderStimulantMental illnessOddsOdds ratioCohortMental healthSubstance abuse

Abstract

fetched live from OpenAlex

Additional file 1: Table S1. Exposure: type of substance use disorder diagnosis. Table S2. Outcome: Medications and drug identification numbers (DINs) included in definition of opioid agonist treatment. Table S3. Mental Illness Algorithm. Table S4. Demographic, geographic, and health and corrections characteristics of people with an opioid use disorder diagnosis released from provincial correctional centres between Jan 1 2015- Dec 29 2018 (N=13,380), by OAT dispensation within 1 day of release (not including day of release). Table S5. Demographic, geographic, and health and corrections characteristics of people with an opioid use disorder diagnosis released from provincial correctional centres between Jan 1 2015- Dec 28 2018 (N=13,375), by OAT dispensation within 3 days of release (not including day of release). Table S6. Demographic, geographic, and health and corrections characteristics of people with an opioid use disorder diagnosis released from provincial correctional centres between Jan 1 2015- Dec 24 2018 (N=13,353), by OAT dispensation within 7 days of release (not including day of release). Table S7. Demographic, geographic, and health and corrections characteristics of people with an opioid use disorder diagnosis released from provincial correctional centres between Jan 1 2015- Dec 29 2018 (N=13,380), by OAT dispensation within two days of release (including day of release). Table S8. Unadjusted and adjusted odds ratio estimates of OAT dispensation for four levels of the main exposure of interest (mental illness and stimulant use disorder diagnoses) on various OAT outcome definitions. Table S9. Mental illness and stimulant use disorder stratum specific unadjusted and adjusted Odds ratio estimates of OAT dispensation within two days of release among people with an opioid use disorder diagnosis who released from provincial prisons between Jan 1 2015- Dec 29 2018 (N=13,380) (P Value column included).

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)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.557
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.5570.039

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 head0.269
Teacher spread0.242 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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