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Record W2036920157 · doi:10.1111/sltb.12059

Suicide Attempts in Major Depressed Patients with Personality Disorder

2013· article· en· W2036920157 on OpenAlexaff
Mario Amore, Marco Innamorati, Cristina Di Vittorio, Igor Weinberg, Gustavo Turecki, Leo Sher, Joel Paris, Paolo Girardi, Maurizio Pompili

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2013
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsPersonalityPsychologyClinical psychologyPsychiatryPsychoanalysis

Abstract

fetched live from OpenAlex

Suicide attempters who met criteria for borderline personality disorder (BPD) comorbid with major depressive disorder (MDD) were compared to both suicide attempters suffering from MDD alone and to attempters with comorbid MDD and other personality disorders (PD). Participants were 239 (158 patients with comorbid PD and 81 patients with MDD without comorbidity) inpatients consecutively admitted after a suicide attempt made in the last 24 hours. Suicide attempters with comorbid MDD and BPD had more frequent previous suicide attempts and were more likely to have a history of aggressive behaviors and alcohol and drug use disorders compared with patients suffering from MDD without Axis II comorbidity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.299
Teacher spread0.275 · 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.

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

Citations23
Published2013
Admission routes1
Has abstractyes

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