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Record W2052248798 · doi:10.1186/2049-3002-2-s1-p76

Disruption of the endocannabinoid system is prominent in lung adenocarcinoma and associated with poor patient survival

2014· article· en· W2052248798 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

VenueCancer & Metabolism · 2014
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsEndocannabinoid systemAdenocarcinomaLungMedicineComputer scienceInternal medicineBioinformaticsOncologyBiologyCancerReceptor

Abstract

fetched live from OpenAlex

Background The endocannabinoid system (ECS) is comprised of cannabinoid receptors, lipid messengers called endocannabinoids, and the enzymes that metabolize them. It modulates numerous processes including the central nervous and immune systems as well as cell signaling pathways important in normal function and diseases such as cancer. Many studies have demonstrated anti-tumour effects of synthetic and endogenous cannabinoids in cancer, emphasizing the potential for ECS modulators as anti-cancer therapies. We believe that ECS deregulation may contribute to the malignant phenotype of lung cancer cells by reducing anti-tumour endocannabinoid levels and consequently increasing levels of arachidonic acid, which can promote tumour growth. We sought to determine whether the ECS is disrupted in clinical lung tumours and whether disruption has prognostic implications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.433

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)0.0000.000

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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