MétaCan
Menu
← Back to cohort
Record W2159890531 · doi:10.7202/1014956ar

Ce que la microscopie peut nous apprendre sur le suicide

2013· article· fr· W2159890531 on OpenAlexaffvenue
Naguib Mechawar

Bibliographic record

VenueSanté mentale au Québec · 2013
Typearticle
Languagefr
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsNeuroanatomyContext (archaeology)NeuroimagingMoodMood disordersNeurosciencePsychologyDepression (economics)White matterMedicinePsychiatryBiologyMagnetic resonance imagingAnxiety

Abstract

fetched live from OpenAlex

The fine neuroanatomy of mood disorders and suicide is a relatively recent field of investigation. Together with neuroimaging, molecular biology and biochemistry, histological analyses of post-mortem brain regions implicated in mood regulation allow gaining a better understanding of the cellular and molecular mechanisms underlying major depression and suicide. In this article, the author discusses recent studies conducted in his laboratory on the fine neuroanatomy of the anterior cingular cortex (ACC). In particular, he presents data showing that ACC white matter fibrous astrocytes are hypertrophic in depressed suicides compared to matched sudden-death controls. These data are interpreted in the context of the neuroimmune hypothesis of major depression and suicide.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.020
GPT teacher head0.266
Teacher spread0.246 · 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
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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueSanté mentale au Québec→Same topicTryptophan and brain disorders→French-language works237,207→