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Record W2096213679 · doi:10.1139/jpn.0716

Neuroimaging and genetics of borderline personality disorder: a review

2007· review· en· W2096213679 on OpenAlexaffvenue
Eric Lis, Brian Greenfield, Mélissa Henry, J.-M. Guilé, Geoffrey Dougherty

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2007
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsMontreal Children's HospitalDouglas CollegeMcGill University
Fundersnot available
KeywordsBorderline personality disorderImpulsivityNeuroimagingPsychologyEtiologyClinical psychologyAntisocial personality disorderPsychiatryPersonalityPoison controlInjury preventionMedicinePsychoanalysis

Abstract

fetched live from OpenAlex

Borderline personality disorder (BPD) is a highly prevalent psychiatric disorder that carries a severe risk factor for adolescent and young adult suicide. Relatively little research has examined its biological etiology. Differences in the volume and activity in brain structures related to emotion and impulsivity have been observed between individuals who have BPD and those who do not. The present study seeks to assess current research on the neuroanatomical differences observed between individuals with and without BPD and the genes that may play a role in the development of this disorder.

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)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.072
GPT teacher head0.410
Teacher spread0.339 · 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

Citations131
Published2007
Admission routes2
Has abstractyes

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