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Record W3080470220 · doi:10.4103/1673-5374.290890

Chemical biology: a toolbox to unlock neurochemical epigenetics?

2020· article· en· W3080470220 on OpenAlexaff
Dennis Özcelik

Bibliographic record

VenueNeural Regeneration Research · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNeurochemicalToolboxEpigeneticsNeuroscienceCognitive scienceBiologyComputational biologyComputer sciencePsychologyGeneticsGene

Abstract

fetched live from OpenAlex

Chemical biology: a toolbox to unlock neurochemical epigenetics?The complex challenges of studying n e u ro c h e m i st r y : N e u ro c h e m i st r y comprises the molecular and biochemical roles of a vast variety of chemical compounds, including amino acids, peptides, gaseous molecules, and small molecules such as monoamines, which are crucial for the physiology of neurons, synapses and neural networks.Prominent neurochemical agents of the nervous system are the monoamines dopamine and serotonin.They are commonly associated with well-being and happiness but this perception is misleading since both molecules execute very complex and diverse physiological functions in the nervous system and in other tissues (Berger at al.,

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.246
GPT teacher head0.407
Teacher spread0.161 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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