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Record W2012157401 · doi:10.1097/nmd.0000000000000225

Borderline Personality Disorder and Bipolar Disorder

2015· review· en· W2012157401 on OpenAlexaff
Joel Paris, Donald W. Black

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2015
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsBorderline personality disorderBipolar disorderPsychologyMoodClinical psychologyEtiologySadistic personality disorderPsychiatryPersonalityPsychotherapistPersonality disorders

Abstract

fetched live from OpenAlex

Borderline personality disorder (BPD) and bipolar disorder (types I and II) are frequently confused because of their symptomatic overlap. Although affective instability is a prominent feature of each, the pattern is entirely different. BPD is characterized by transient mood shifts that occur in response to interpersonal stressors, whereas bipolar disorder is associated with sustained mood changes. These disorders can be further distinguished by comparing their phenomenology, etiology, family history, biological studies, outcome, and response to medication. Their distinction is of great clinical importance because misdiagnosis can deprive the patient of potentially effective treatment, whether it is psychotherapy for BPD or medication for bipolar disorder. On the basis of a comprehensive literature review, guidelines for differential diagnosis are suggested, and priorities for further research are recommended.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.374
Teacher spread0.327 · 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.

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

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

Citations91
Published2015
Admission routes1
Has abstractyes

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