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Record W2024874264 · doi:10.1586/eem.11.73

New directions in psychoneuroendocrinology: from methods to applications

2011· article· en· W2024874264 on OpenAlexaff
Jens C. Pruessner

Bibliographic record

VenueExpert Review of Endocrinology & Metabolism · 2011
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychotherapistPsychologyMedicine

Abstract

fetched live from OpenAlex

The International Society of Psychoneuroendocrinology brings together clinicians and researchers from many different fields, including, but not limited to, neuroscientists, psychiatrists, endocrinologists, immunologists, geneticists and psychologists. The continuous focus of the society is loosely based on stress and endocrine regulation, and its interdisciplinary approach has always been one of its major strengths. Attendees benefit from discussions across a wide range of disciplines. This year's meeting in Berlin, Germany, was under the theme of 'Modern Psychoneuroendocrinology: Circadian Rhythms' and focused on glucocorticoid signaling in the brain, epigenetic mechanisms of stress regulation, the neurobiology of trust and the social brain and personality and pathology. This brief article reviews selected highlights from a total of 18 keynotes, symposia and workshops presented at the conference.

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)0.042
metaresearch head score (Gemma)0.026
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 score0.042
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.004
Science and technology studies0.0010.014
Scholarly communication0.0100.016
Open science0.0030.006
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0130.004

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 head0.066
GPT teacher head0.434
Teacher spread0.367 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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