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Record W2889847253 · doi:10.1038/s41380-018-0244-9

Stress-inducible-stem cells: a new view on endocrine, metabolic and mental disease?

2018· editorial· en· W2889847253 on OpenAlexaff
Stefan R. Bornstein, Charlotte Steenblock, George P. Chrousos, Andrew V. Schally, Felix Beuschlein, Gregory Kline, Nils Krone, Júlio Licinio, Ma‐Li Wong, Enrico Ullmann, Gerard Ruiz‐Babot, Bernhard O. Boehm, Axel Behrens, Ana Brennand, Alice Santambrogio, Ilona Berger, Martin Werdermann, Rocı́o Sancho, Andreas Linkermann, Jacques W.M. Lenders, Cynthia L. Andoniadou

Bibliographic record

VenueMolecular Psychiatry · 2018
Typeeditorial
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Calgary
FundersTechnische Universität DresdenDeutsche ForschungsgemeinschaftKing's College LondonFrancis Crick Institute
KeywordsStem cellDiseaseEndocrine systemPsychologyNeurosciencePsychological stressStress (linguistics)MedicineBiologyClinical psychologyInternal medicineCell biologyHormonePhilosophy

Abstract

fetched live from OpenAlex

In general terms we all use the word“stress”to describe ourdiscomfort in coping with challenges of daily life. This ismostly related to our subjective perceptions of workloadand/or other unexpected physical or mental efforts we areexposed to. The term is derived from the concept of stress asa reaction to internal and external stimuli requiring acute orchronic adaptations, as introduced by Hans Selye in thesecond half of the last century [1–3].

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations28
Published2018
Admission routes1
Has abstractyes

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