MétaCan
Menu
Back to cohort

Getting lucky: Clinical characterization of compulsive sexual behavior compared with gambling disorder and intermittent explosive disorder

2025· article· en· W4414246170 on OpenAlexafffund
Ashley R. Ethier, Hyoun S. Kim, David C. Hodgins, Daniel S. McGrath, Hermano Tavares, Marco de Tubino Scanavino

Bibliographic record

VenueJournal of Psychiatric Research · 2025
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsLondon Health Sciences CentreWestern UniversityUniversity of Calgary
FundersAlberta Gambling Research Institute, University of Calgary
KeywordsImpulsivityHypomaniaPersonalityBonferroni correctionConduct disorderTraitManiaSubstance dependenceLogistic regressionTemperament

Abstract

fetched live from OpenAlex

This study provides a comparative description of treatment-seeking adults with CSBD, Gambling Disorder (GD), and Intermittent Explosive Disorder (IED) across demographic, psychiatric, and personality correlates. Participants (N = 969; CSBD n = 233, GD n = 634, IED n = 102) were evaluated at a single specialty center. CSBD was ascertained using Goodman's criteria; GD and IED were diagnosed with DSM-IV SCID procedures. Psychiatric comorbidities were assessed with the Mini-International Neuropsychiatric Interview v5.0.0, and personality with the Temperament and Character Inventory. Group differences were tested with chi-square/Fisher's exact tests and Kruskal-Wallis with Dunn's post hoc tests using familywise Bonferroni thresholds, followed by backward stepwise binary logistic regressions contrasting CSBD vs. GD and CSBD vs. IED. Relative to GD, the CSBD group was younger, more often male, more frequently non-heterosexual, and reported higher educational attainment. CSBD also showed lower odds of hypomania and anorexia nervosa (binge/purge subtype) and lower novelty-seeking, with trait means in the normative range. Relative to IED, CSBD was more often non-heterosexual, less likely to have bulimia nervosa, and showed higher cooperativeness and self-transcendence, with trait means in the normative range. Findings delineate phenotypic patterns in a treatment-seeking cohort that can sharpen screening, triage, and case formulation. Results should be interpreted as clinical characterization rather than evidence for nosological proximity, given the cross-sectional design and historical diagnostic frameworks used.

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)0.002
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 score0.068
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.115
GPT teacher head0.481
Teacher spread0.365 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Psychiatric ResearchSame topicSexuality, Behavior, and TechnologyFrench-language works237,207