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Record W3213761753 · doi:10.31579/2641-5194/035

Unexpected Findings on Agomelatine’s Substitutive Effects in Smoking Behavior Reduction

2021· article· en· W3213761753 on OpenAlexaff
Unnati Desai

Bibliographic record

VenueClinical Endocrinology and Metabolism · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsFuture Earth
Fundersnot available
KeywordsMedicineARDSPulmonary fibrosisPneumoniaLungPandemicViral pneumoniaFibrosisDiseaseDiffuse alveolar damageInfluenza A virusVirusCoronavirus disease 2019 (COVID-19)Internal medicineImmunologyAcute respiratory distressInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Introduction: The research paper reports the exploratory findings of the clinical trial in attenuating autism spectrum disorder during autoimmune disease intervention. Methods: Agomelatine is introduced in the trial, and it has been observed that the smoking behavior of the participant was attenuated dose-independent by the medication. Reviews on the comparative mechanisms of actions between nicotine and agomelatine are thus conducted. Result: The phenomenon may be contributed by agomelatine’s substitutive actions through glucose, glycogen, and possibly lipoproteins, and the incompleteness of substitution can be associated with the µ-opioid receptors. Discussions & Conclusions: The intersection between programmed cell death and epidermal growth factor is an interesting element to be further studied. Trial registration: The trial is registered on ClinicalTrials.gov with the identifier NCT05930912.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.063
GPT teacher head0.443
Teacher spread0.379 · 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 designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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