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Δ9-Tetrahydrocannabinol increases brain temperature and inverts circadian rhythms

2001· article· en· W2043838007 on OpenAlexaff
Regan R. Perron, Randy L. Tyson, Garnette R. Sutherland

Bibliographic record

VenueNeuroreport · 2001
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCircadian rhythmNeuroscienceΔ9-tetrahydrocannabinolChronobiologyRhythmBiologyCannabinoidInternal medicineMedicine

Abstract

fetched live from OpenAlex

Delta9-tetrahydrocannabinol (THC) has been shown to protect against focal and global ischemia. Hypothermia is thought to be one mechanism for this protection. These observations are important since brain hyperthermia is known to increase ischemic damage while hypothermia is protective. To establish the effect of THC on brain and body core temperature, brain and body temperature probes were inserted for chronic temperature monitoring (n = 20). THC treated groups were administered THC at either low (0.1 mg/kg) or high (10 mg/kg) dose for 1 week. Brain temperature was recorded during this period and for 1 week following the discontinuation of THC. Chronic administration of THC at either dose increased brain temperature (p < 0.0001) but did not significantly change body core temperature (p = 0.4767) in the freely moving rat.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.277
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations28
Published2001
Admission routes1
Has abstractyes

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