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Record W7055114708

Cannabinoid receptors in animal models of acute, tonic and chronic pain

2002· dissertation· en· W7055114708 on OpenAlexfundno aff

Bibliographic record

VenueOpen MIND · 2002
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
FundersMcGill University
KeywordsAnandamideCannabinoid receptorCannabinoidNociceptionTail flick testTonic (physiology)Endocannabinoid systemNoxious stimulus
DOInot available

Abstract

fetched live from OpenAlex

The aim of the work presented here is to evaluate the effects of cannabinoids in three animal models of pain: acute, tonic and chronic. The tail flick test (acute pain) was used to test the effect of the cannabinoid agonist, WIN 55,212--2, on tail withdrawal latency from a noxious radiant heat source. It was also tested on the allodynia induced by either endogenous release or exogenous administration of substance P. WIN 55,212--2 was antinociceptive in this test, and blocked the substance P-induced allodynia, suggesting a post-synaptic site of action. The formalin test (tonic pain) was used to test the effects of the endogenous cannabinoid agonist, anandamide and the cannabinoid receptor antagonist AM 281. Anandamide was antinociceptive (with a short duration of action), and AM 281 was pronociceptive. When administered concomitantly, AM 281 blocked the effects of anandamide. When given alone and in the absence of a noxious stimulus, AM 281 was without effect. (Abstract shortened by UMI.)

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.294
Teacher spread0.279 · 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 designOther design
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
Published2002
Admission routes1
Has abstractyes

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