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Record W2012134663 · doi:10.1126/stke.2772005pe15

Central and Peripheral Signaling Mechanisms Involved in Endocannabinoid Regulation of Feeding: A Perspective on the Munchies

2005· review· en· W2012134663 on OpenAlexaff
Keith A. Sharkey, Quentin J. Pittman

Bibliographic record

VenueScience s STKE · 2005
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsInstitute of Infection and ImmunityUniversity of Calgary
Fundersnot available
KeywordsEndocannabinoid systemRegulatorCannabinoidCannabinoid receptorEnergy homeostasisReceptorEnergy expenditureBiologyFood intakePeripheralNeuroscienceEndocrinologyInternal medicineMedicineBiochemistryAgonist

Abstract

fetched live from OpenAlex

The endocannabinoid system is a critical regulator of energy homeostasis and food intake. Through cannabinoid (CB)(1) receptors in the brain and periphery, endocannabinoids exert powerful effects on the systems of the body that coordinate the balance between food intake, metabolism, and energy expenditure. These integrative systems control food intake both by modulating the inputs to various brain areas that monitor energy balance and by increasing the hedonic or reward value of the food consumed. Cannabinoids also alter metabolism, acting through both centrally located CB(1) receptors that drive neuronal pathways controlling metabolism and peripheral CB(1) receptors located in tissues throughout the body.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.046
GPT teacher head0.353
Teacher spread0.307 · 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

Citations36
Published2005
Admission routes1
Has abstractyes

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