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Record W1698167416 · doi:10.1177/0163278702238052

The Biochemical Bases for Reward

2002· article· en· W1698167416 on OpenAlex
Raúl de la Fuente‐Fernández, A. Jon Stoessl

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

VenueEvaluation & the Health Professions · 2002
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNucleus accumbensPlaceboDopamineAddictionMedicineOpioidNeurosciencePsychologyPharmacologyMechanism (biology)PsychiatryInternal medicine

Abstract

fetched live from OpenAlex

The authors propose that the placebo effect is mediated by reward-related mechanisms. Recent evidence suggests that it is the expectation of reward (in this case, the expectation of clinical benefit) that triggers the placebo response. In Parkinson's disease, the placebo effect is mediated by the release of dopamine in the striatum. The authors argue that placebo-induced dopamine release in limbic structures, particularly in the nucleus accumbens, could also be a major biochemical substrate for the placebo effect encountered in other medical disorders. Other neuroactive substances involved in the reward circuitry (e.g., opioids) are also likely to contribute to the placebo response, and such contribution may be disorder specific (e.g., opioid release in placebo analgesia; serotonin regulation in response to placebo antidepressants). In addition, placebos may have a role in substitution programs for the treatment of drug addiction.

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)0.013
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.309
GPT teacher head0.453
Teacher spread0.144 · 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