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Record W1964373020 · doi:10.1002/ddrr.13

Neurophysiology of hunger and satiety

2008· review· en· W1964373020 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDevelopmental Disabilities Research Reviews · 2008
Typereview
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsQueen's University
Fundersnot available
KeywordsEnergy homeostasisEnergy balanceNeuroscienceEnergy (signal processing)Energy expenditureBalance (ability)HomeostasisPsychologyFood intakeNeurophysiologyControl (management)Energy metabolismTerm (time)BiologyComputer scienceEndocrinologyObesityArtificial intelligenceEcology

Abstract

fetched live from OpenAlex

Hunger is defined as a strong desire or need for food while satiety is the condition of being full or gratified. The maintenance of energy homeostasis requires a balance between energy intake and energy expenditure. The regulation of food intake is a complex behavior. It requires discrete nuclei within the central nervous system (CNS) to detect signals from the periphery regarding metabolic status, process and integrate this information in a coordinated manner and to provide appropriate responses to ensure that the individual does not enter a state of positive or negative energy balance. This review of hunger and satiety will examine the CNS circuitries involved in the control of energy homeostasis as well as signals from the periphery, both hormonal and neural, that convey pertinent information regarding short-term and long-term energy status of the individual.

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.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.344
GPT teacher head0.442
Teacher spread0.099 · 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