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Record W2898902260 · doi:10.1177/1079063218791176

The Use of Leuprolide Acetate in the Management of High-Risk Sex Offenders

2018· article· en· W2898902260 on OpenAlexaff
Alessandra Gallo, Jeffrey Abracen, Jan Looman, Elizabeth L. Jeglic, Robert Dickey

Bibliographic record

VenueSexual Abuse · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsWaypoint Centre for Mental Health CareProvidence Health CareMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsRecidivismMedicineParaphiliaSex offenseRisk assessmentClinical psychologyPoison controlSex offenderInjury preventionPsychiatrySexual abuseSexual behaviorEmergency medicine

Abstract

fetched live from OpenAlex

The present study investigates whether leuprolide acetate (Lupron) adds to the efficacy of traditional sex offender treatment. A group of sex offenders receiving both Lupron and cognitive behavioral therapy (CBT; n = 25) were compared with a group of sex offenders receiving only CBT ( n = 22). Treated subjects were compared with norms available with reference to the Static-99R, as well as compared with a sample of untreated, nonsexual violent offenders ( n = 81), to provide baseline data regarding risk of violent recidivism. Results indicated that subjects receiving Lupron were at significantly higher risk of recidivism and significantly more likely to be diagnosed with a paraphilia than subjects receiving only CBT, a priori. Both treated groups of sexual offenders recidivated at substantially lower rates than predicted by the Static-99R. Currently, this study represents the only, long-term outcome study on Lupron administration using officially recorded recidivism as the primary dependent measure.

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 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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.060
GPT teacher head0.311
Teacher spread0.251 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations26
Published2018
Admission routes1
Has abstractyes

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